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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in antibody process development and manufacturing to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in making antibodies, with hands-on experience expressing, purifying, characterizing, and formulating them, from small screening batches to material for IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll build and run the workflows that turn AI-designed sequences into well-characterized protein, and pressure-test AI predictions of expression, stability, and manufacturability against real data. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Develop and run expression and purification processes for antibodies and other recombinant proteins end to end, including transient and stable expression in mammalian cells (HEK293, CHO), affinity capture (Protein A, IMAC), polishing chromatography, buffer exchange, and formulation Characterize what we make with the right analytical panel, for example SEC, CE-SDS, icIEF, LC-MS (intact mass, peptide mapping, glycans), DLS, thermal stability, endotoxin, and binding kinetics (SPR, BLI) Build the laboratory for this work, including selecting, installing, and qualifying equipment and setting up workflows that scale from plate-based production of hundreds of designs to gram quantities of a lead Evaluate AI-designed antibodies for manufacturability (titer, aggregation, stability under stress, viscosity, chemical liabilities), drive them to experimental readout, and feed results back to research teams Plan the chemistry, manufacturing, and controls (CMC) path toward IND-enabling studies, from cell line development and scale-up to analytical methods and stability, and coordinate technology transfer and manufacturing with external contract manufacturers Ensure experimental data across programs is high quality and well documented, including batch records, methods, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemical engineering, chemical engineering, biochemistry, or a related field Demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins, including material supplied for IND-enabling or clinical studies, with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of biologics process development experience beyond the PhD Depth in both upstream (cell line development, bioreactors) and downstream (chromatography, filtration) development, with working knowledge of analytical and formulation development Experience setting up a protein production or process development laboratory, including laboratory automation and high-throughput, plate-based expression and purification Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations, with contributions to the CMC sections of an IND Statistics or coding skills, for example design of experiments or Python for data analysis and automation Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in therapeutic antibodies to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in antibody design and engineering who has taken antibodies through the whole process, from target selection and lead optimization to candidate selection and IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive antibody programs end to end and pressure-test AI-designed antibodies against the bar a real drug candidate has to clear. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and engineer therapeutic antibodies and oversee programs end to end, including target and epitope selection, choice of format (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, and candidate selection Define the screening cascade for each program, from binding kinetics (SPR, BLI), epitope binning, and species cross-reactivity to cell-based functional assays and developability (expression, aggregation, polyreactivity, stability, viscosity, immunogenicity risk) Plan the path from lead to IND-enabling studies, including in vivo pharmacology, pharmacokinetics, toxicology, and the handoff to process development and manufacturing Coordinate antibody production, characterization, and in vitro and in vivo studies with external contract research organizations and academic partners Evaluate AI-designed antibodies, drive them to experimental readout, and feed results back to research teams Ensure experimental data across programs is high quality and well documented, including sequences, protocols, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field Demonstrated experience in therapeutic antibody discovery and engineering, including at least one antibody you helped take from discovery through candidate selection and IND-enabling studies Working knowledge of what an antibody IND requires across pharmacology, pharmacokinetics, toxicology, and chemistry, manufacturing, and controls (CMC) Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of therapeutic antibody experience beyond the PhD Track record of advancing more than one antibody program into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents Hands-on experience with antibody expression, purification, and biophysical characterization Experience directing antibody production, assays, and in vivo studies at contract research organizations Structural biology, computational protein design, or coding skills, for example Python for sequence and assay data analysis or structure prediction and protein design tools Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Europe Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Estonian  linguists specializing in Clinical-trials, Pharmacovigilance, Regulatory and Medical Devices documents translation. Key Responsibilities Translate clinical research, regulatory, pharmacovigilance and medical devices documents from English to Estonian. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Medical Device Documents (Instructions for Use, User Manual, User Interface) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials , pharmacovigilance and medical devices) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase/MemoQ), License will be provided. Familiarity with Track Changes in Microsoft Word Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote - Europe Workplace: remote About Welo Life Sciences    Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into French (France) linguists specializing in Clinical-trials, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to French. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote - Europe; Remote Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Polish linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Polish. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Москва Workplace: Гибридный О компании Мы ищем аналитика для продукта Partner Life. Тут интеграции с десятком других систем в ландшафте, требования по непрерывности и много увлекательных челленджей. Partner Life - ядро экосистемы МТС по взаимодействию с партнерами, мы реализуем концепцию одного окна и делаем жизнь наших бизнес партнеров проще! Обязанности выполнять подготовку экспресс-оценок (трудозатрат / сроков) в части системного анализа; анализировать бизнес-требования, формировать описания процессов, генерировать идеи, прорабатывать технические решения и интеграционные взаимодействия; разрабатывать спецификации функциональных и системных требований (включая интеграционные интерфейсы) в соответствии бизнес требованиями, в т.ч. с использованием UML-диаграмм и с дальнейшим сопровождением диаграмм; участвовать в согласовании спецификаций с Заказчиком и аналитиками от смежных систем; участвовать в демонстрациях доработок; проводить ревью тест-анализа. Требования опыт проведения бизнес-анализа. Умение создавать схемы бизнес-процессов в нотации BPMN; опыт построения интерфейсов взаимодействия систем автоматизации, архитектуры сервиса; понимание работы OpenAPI, swagger, yml, SOAP, WSDL; знание основ SQL, принципов взаимодействия с БД, описания ER-моделей; знание основных инструментов и методик описания процессов (BPMN, UML); навыки использования JIRA, Confluence. Условия Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров. Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; А еще: ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress. You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission. Responsibilities Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry) Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners) Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed Intense curiosity about AI and science, and a commitment to responsible AI development Preferred qualifications 10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running Advanced degree in a life sciences or chemistry field Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at some of the largest healthcare and life sciences organizations to address their most critical questions about deploying Claude safely and securely. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organizational requirements. You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in healthcare and life sciences, and can speak credibly to their security and compliance concerns. We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you. Responsibilities: Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models. Partner with CISOs, security architects, and compliance teams at healthcare and life sciences organizations to understand their security requirements and design solutions that meet regulatory standards (HIPAA, GxP, HITECH, SOC 2, PCI-DSS, GDPR, federal mandates, etc) Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments. Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance. Collaborate with GTM and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment. Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities. Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries. Lead enablement and create content for GTM and Applied AI Teams that helps them inform customers upstream about key security requirements and considerations. Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings. You may be a good fit if you have: 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (healthcare and life sciences). Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements. Experience navigating compliance frameworks relevant to healthcare and life sciences organizations (HIPAA, GxP, HITECH, SOC 2, PCI-DSS, and GDPR). A track record of engaging with CISOs, security teams, and compliance officers at large enterprises. Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity. Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences. The ability to navigate ambiguity and move fast in a rapidly evolving market. A collaborative mindset: sales at Anthropic is a team sport. Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico Company Background Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026. Project Description Our client is looking for a Full-stack Engineer to contribute to full-stack development initiatives in the healthcare advertising domain. The specialist will work as part of a Scrum-based team, collaborating on solution design, development, documentation, API integrations, and application improvements. Technologies C# .NET Vue.js (or another frontend framework) API SQL AWS What You'll Do Develop and maintain application features using .NET, SQL, AWS, and Vue.js (or another modern frontend framework); Participate in technical discussions and contribute to solution design and project documentation; Develop and support API integrations with other services; Contribute to application performance optimization; Participate in technical reviews and collaborate with the team on implementation approaches; Communicate with client stakeholders when needed and take responsibility for assigned tasks; Job Requirements 4+ years of experience as a Full-stack Engineer; Solid hands-on experience with backend development using C# / .NET; Experience with Vue.js or another modern frontend framework; Experience with SQL databases; Experience with API development and integrations; Experience with AWS; Ability to participate in technical discussions and work with project documentation; Ability to work independently on assigned tasks and collaborate with the team; Good verbal and written communication skills; English level: B2 or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Remote - Europe; Remote Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into German linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to German. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there. For more information, visit arcadia.io Why This Role Is Important to Arcadia Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue. This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process. What Success Looks Like In 3 Months •  Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations. •  Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations. •  Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting. •  Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden. •  Demonstrate early identification and escalation of risks that could affect project completeness or timing. •  Become familiar with the feasibility process and begin supporting queue coordination and status visibility. In 6 Months •  Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover. •  Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented. •  Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions. •  Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced. •  Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery. •  Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership. •  Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status. In 12 Months •  Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects. •  Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions. •  Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions. •  Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs. •  Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness. •  Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability. What You'll Doing Project Planning and Execution •  Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, with complete and on-time project delivery. •  Create and maintain clear project planning activities, milestones, dependencies, responsibilities, decisions, risks, issues, and action items. •  Organize and coordinate project activities across the Life Sciences team and supporting functions, maintaining clear ownership, prioritization, alignment, and progress across contributors. •  Establish a dependable meeting and reporting cadence appropriate to each project's complexity and customer commitments. •  Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions when necessary. Requirements and Stakeholder Coordination •  Facilitate requirements discussions and document agreed business and technical documentation, acceptance criteria, assumptions, and decisions. •  Build alignment across participating teams on priorities, responsibilities, dependencies, timelines, and execution approach. •  Facilitate customer and channel-partner discussions related to in-flight solutioning projects, ensuring requirements, decisions, action items, and next steps are clearly documented and communicated. •  Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners. •  Maintain project documentation in Jira and Confluence so current plans, decisions, and ownership are accessible to the people doing the work. Implementation Readiness and Operations Turnover •  Ensure all project workstreams, including requirements, analysis, technical development, testing, documentation, and implementation readiness, are appropriately planned, prioritized, and completed on time. •  Coordinate readiness reviews and confirm that agreed QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation. •  Coordinate the transition of completed projects to Delivery & Operations, ensuring required runbooks, known issues, outstanding items, and ownership are clearly documented. •  Facilitate project retrospectives and turn recurring lessons into practical improvements for future projects. Feasibility Support •  Support coordination of the Life Sciences feasibility queue, facilitating prioritization of new Sales demand against existing activities and commitments across the Life Sciences team. •  Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion. Tools and Working Environment •  Project workflow and documentation: Jira and Confluence •  Project management best practices: project plans, RACI models, milestone and dependency tracking, risk and issue management, decision records, action tracking, and status reporting •  Data environment familiarity: healthcare data schemas, claims and clinical data, data pipelines, QA/QC practices, and software development lifecycle concepts •  Collaboration: remote, cross-functional teams supporting data products, analytics, software development, and customer delivery What You'll Bring Education •  Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program. Experience •  Five or more years of practical experience managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects. •  Demonstrated success managing multiple concurrent projects through complete and timely delivery. •  Experience coordinating technical and nontechnical contributors without direct reporting authority. •  Hands-on experience with Jira and Confluence for planning, documentation, action tracking, and status reporting. •  Experience facilitating requirements discussions and maintaining clear project documentation, including responsibilities, dependencies, risks, issues, decisions, and acceptance criteria. •  General understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices. Coding experience is not required. Skills •  Practical judgment and a straightforward working style focused on completing the work rather than adding process for its own sake. •  Strong organizational skills, attention to detail, and disciplined follow-through across multiple projects and competing priorities. •  Ability to create clarity, alignment, and accountability across teams without relying on formal authority. •  Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues. •  Strong facilitation skills and the confidence to guide discussions toward decisions, owners, and next steps. •  Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required. •  A collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners. Would Love For You To Have •  Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data. •  Experience working for a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company. •  Familiarity with projects involving patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting. •  Experience coordinating data-pipeline, analytics, or software-development work through testing and implementation readiness. •  Familiarity with Snowflake, AWS, SQL, or modern data-platform concepts sufficient to follow technical discussions; hands-on coding is not required. •  Project-management or Agile training or certification. Practical experience and judgment are more important than a specific certification. What You'll Get •  A central role in helping Arcadia's Life Sciences team deliver complex data and technology projects with greater clarity and predictability. •  Direct exposure to Life Sciences leadership team, analytics and engineering teams. •  Opportunities to work on programs that connect real-world data, provider workflows, and life sciences research and engagement. •  A flexible, fully remote work environment with the autonomy to establish practical ways of working. •  The opportunity to help shape program practices as Arcadia's Life Sciences business grows •  The opportunity to use advanced AI and agentic workflow capabilities to improve program planning, coordination, documentation, and execution •  Membership in Arcadia's talented, purpose-driven community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication: talks, tutorials and docs that scientists find useful. A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (ESUS/US based) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language Candidates must be native Spanish speakers who were born and raised in the U.S., or have been residing in the U.S. for at least 10 years and be able to demonstrate familiarity with the differences between the Spanish used in their country of origin and in the U.S. Location A candidate must be based in the U.S. Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (Mexico) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language A candidate must be native in ESMX (Mexican Spanish) Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Scientists use Claude across the life sciences, from drug discovery and research biology to clinical development and manufacturing. To support that work, Anthropic introduced the Life Sciences Verification Program (LSVP), which gives verified life science professionals access to Claude with a refined set of safeguards that is more permissive for biology-related work. The program is in beta.We're hiring a Technical Program Manager to own the program of work that expands that access and helps scale it with safety in mind. Each expansion depends on many teams at once and no single team owns the path end to end. You'll become the single owner of that program, the person who knows what each expansion requires, where every workstream stands, what it is waiting on, and who needs to decide. This is a cross-org execution role, not a research role, and it does not require a life sciences background. LSVP is the starting point, and the scope will grow alongside Anthropic's broader work in the life sciences. Over time, more of the life sciences community can get verified access, and each new expansion takes less bespoke effort than the last. Responsibilities Own the program for expanding access to Anthropic's life sciences verification programs: scoping, sequencing, dependencies, and tradeoffs across safeguards, platform, and product engineering teams Scope and drive the cross-org engineering work that each expansion requires, from new plan and account types to new platforms Partner with the product manager to turn program goals into a sequenced plan with clear owners and dates Drive clarity on data access, retention, and review requirements, and on the changes they require across safeguards, access, and provisioning Drive user experience scoping across the Claude product surfaces where the program is available Find and remove the technical blockers that keep eligible organizations from accessing life sciences capabilities Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs Convert recurring efforts into documented, repeatable processes so that each new expansion requires less bespoke coordination You may be a good fit if you Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Have experience coordinating across multiple engineering teams and organizations simultaneously, including safeguards, platform, and product partners Can engage meaningfully with the engineers doing the work, from platform and access systems to product surfaces Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Have excellent written and verbal communication skills, with the ability to influence without authority Have worked on cloud or platform programs (preferred but not required) Do not need a life sciences background. This is not a research role, and no life sciences experience is required Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to the life sciences community safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.