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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 Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing 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: $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: Dubai Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.    We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.    The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Qualifications: 5+ years of experience in fire and life safety or a similar industry. Sales experience in the UAE region, operating from Dubai. Strong technical knowledge of fire systems. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions and IoT A strong combination of technical knowledge, sales expertise, and strong communication skills. Conversational English and Arabic required Key Responsibilities: Achievement of Sales Targets: Consistently meet or exceed assigned sales targets and key performance indicators (KPIs) on a quarterly and annual basis. Develop and implement a strategic business development plan in the UAE, aligned with company objectives and market trends. Identify, evaluate, and onboard new partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure the successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: A truly innovative product that sells itself. Greenfield territory. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Being a part of the emerging leadership in the security space. If you are a results-driven individual with a passion for business development, we would love to hear from you. Please submit your resume in English for consideration.

Location: Munich, Germany 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: €265.000 — €310.000 EUR 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.

What you’ll do Participate in the Master Class Program designed to pivot experienced professionals into Life Sciences Consulting. Own key workstreams on customer-facing engagements early in the program to create high-impact business solutions. Collaborate with team members at all levels of Veeva to accelerate consulting skills development. Contribute to building effective business and operational improvement strategies powered by Veeva’s industry insights and technology. Support initiatives focused on speeding drug development, launching treatments more effectively, and shaping optimal customer engagement. Who you are You are graduating with an advanced degree or have 3-5 years of industry experience. You are excited to pivot your career into consulting for the Life Sciences industry. You are eager to join a program with an anticipated start date of April 2027. Requirements Advanced degree or 3-5 years of industry experience in a relevant field. Interest in transitioning into Life Sciences Consulting through the Master Class program. Ability to contribute to customer-facing engagements and collaborate across teams. Benefits & perks Structured Master Class program designed to accelerate consulting skills development. Exposure to industry-leading software, data, AI, and consulting expertise. Team description Veeva Business Consulting combines deep domain knowledge with innovative technology to help Life Sciences companies work more efficiently and connectedly. The team focuses on speeding drug development, launching treatments, and shaping stakeholder engagement using Veeva’s industry insights and technology. Location France (Master Class program, anticipated start April 2027).

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 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 Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance. You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with  you taking the lead on adoption, change management, and value realization. This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them. The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society. Responsibilities Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies) Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic You may be a good fit if you have 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting 3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed An understanding of the regulatory, risk, and compliance needs of the industry Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player 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: $200,000 — $265,000 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 is seeking an experienced Corporate Development leader to drive our strategic transactions in life sciences and biotech. Frontier AI is beginning to change how drugs are discovered, developed, and brought to patients, and Anthropic wants to help build that future responsibly. In this role, you will source and execute acquisitions, investments, and strategic partnerships with AI-native life sciences companies, partnering directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities. The ideal candidate combines deep life sciences domain knowledge with technical fluency in AI and a record of closing complex transactions. You understand how R&D, clinical, and regulatory workflows actually run, you can tell a durable AI-native business from a thin wrapper, and you can assess a target's science, data, and compliance posture as rigorously as its financials. You care about AI safety and Anthropic's mission to build AI systems that are helpful, harmless, and honest, and you recognize the stakes of applying AI where patient safety and scientific integrity are on the line. Join us in shaping how AI accelerates science and medicine while keeping it safe and beneficial for humanity. This role sits at the intersection of frontier AI research and life sciences, with direct impact on Anthropic's growth in one of its most consequential sectors. Key responsibilities Define and execute Anthropic's corporate development strategy in life sciences, covering acquihires, tuck-in acquisitions, minority investments, and strategic partnerships Build and maintain a target pipeline across AI-native companies in drug discovery, clinical development, regulatory and medical writing, lab automation, and healthcare data infrastructure Lead end-to-end transaction processes, from sourcing through diligence, negotiation, signing, and integration Partner with research, product, engineering, and go-to-market teams to assess the technical, scientific, and commercial value of opportunities Run sector-specific diligence, including scientific and data validation, regulatory posture (FDA, EMA, GxP, 21 CFR Part 11), data privacy (HIPAA, GDPR), quality systems, and IP Assess build/partner/buy tradeoffs and competitive dynamics against incumbents, AI-native entrants, and other frontier AI labs Structure and negotiate complex deals, including earnouts, milestone-based consideration, and licensing arrangements, working closely with legal, finance, and policy teams Build financial models and valuation analyses suited to life sciences businesses, including services-heavy and usage-based revenue models Drive post-transaction integration, with particular attention to retaining scientific and technical talent and maintaining regulated customer commitments Build relationships with founders, life sciences and healthcare VCs, pharma and biotech corporate development teams, and academic research institutions Present strategic recommendations to executive leadership and the board Support Anthropic's partnerships with pharmaceutical companies, CROs, and research organizations Minimum qualifications Have led complex M&A, investment, or partnership transactions from sourcing through close Understand the drug development lifecycle, from discovery through clinical trials, regulatory submission, and commercialization Have strong technical fluency in AI and software, gained as an engineer, product manager, scientist, or technology investor Bring strong analytical and financial modeling skills Can engage credibly with scientists, engineers, executives, and regulators Are comfortable in fast-paced, ambiguous environments with competing priorities Write and speak clearly, and can influence at all levels Have a deep interest in AI safety and Anthropic's mission Preferred qualifications Have 8-12 years of experience across corporate development, investment banking, or investing, with at least 5 years focused on life sciences, biotech, or healthcare technology Hold an advanced degree in the life sciences (PhD, MD, PharmD) or an MBA Have worked at a pharmaceutical company, biotech, CRO, or life sciences software company Have experience with AI/ML applied to biology, chemistry, or clinical operations Bring an established network among life sciences founders, healthcare VCs, and pharma business development leaders Have diligenced or integrated businesses operating under GxP, HIPAA, or similar regulatory regimes Have led post-merger integration or built a new business unit Have experience with cross-border transactions, particularly in the US, EU, and UK life sciences markets 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: $325,000 — $425,000 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; 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 is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory. This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction. This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.   What Success Looks Like In 3 months Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework In 6 months Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles Close at least one deal or be in late-stage contracting on priority opportunities Demonstrate strong deal scoping discipline with smooth handoffs into delivery Maintain accurate CRM hygiene and deliver a reliable forecast to your manager In 12 months Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner Provide market feedback that influences packaging, pricing, or roadmap prioritization What You'll Be Doing PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes CONDUCT CONSULTATIVE, VALUE-BASED SELLING Lead structured discovery that surfaces business problems and internal success metrics before any product discussion Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately Own the full lifecycle: Opportunity qualification Solution design and scoping Proposal and SOW development Pricing and commercial structuring Contract negotiation and close Partner closely with legal, finance, and leadership to finalize terms efficiently COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions What You'll Bring 5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings) Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on methodology , study design, and data fit-for-purpose Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models A disciplined approach to pipeline management and forecasting, using a defined qualification methodology Strong cross-functional collaboration skills and comfort operating in a build-mode commercial environment Would Love For You To Have Existing senior relationships within pharma or biotech that can accelerate early pipeline development Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs) Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training What You'll Get Arcadia brings a rare advantage to Life Sciences: a market-leading, scaled payer and provider platform as its foundation For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in: Purpose-built real-world data assets Clinically connected solutions that link insight back into provider workflows A growing research and collaboration ecosystem to expand data use rights Dedicated leadership, product, data, and operational resources The opportunity is to sell—and help shape—solutions that connect data, analytics, and real-world clinical activation across the pharma development lifecycle, backed by enterprise credibility and executive commitment This role is a founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning This role is not a channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities 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.

Задачи: — Владение ключевыми рабочими потоками в проектах с клиентами для создания высокоэффективных бизнес-решений. — Сотрудничество с членами команды на всех уровнях для ускорения развития навыков консультирования. — Использование отраслевых знаний и технологий Veeva для поддержки проектов в области наук о жизни, направленных на ускорение разработки лекарств, запуск новых методов лечения и оптимизацию взаимодействия с клиентами. Требования: — Наличие продвинутой степени или 3-5 лет соответствующего отраслевого опыта. — Желание сменить карьеру и перейти в консалтинг в области наук о жизни. — Интерес к участию в программе Master Class, предназначенной для подготовки бизнес-консультантов. Условия: — Программа Master Class с структурированным развитием и ресурсами для ускорения навыков консультирования. — Возможность присоединиться к растущей глобальной организации, ориентированной на науки о жизни. Технический стек и описание команды: — Команда бизнес-консалтинга разрабатывает эффективные стратегии бизнес- и операционного улучшения, используя уникальные отраслевые знания Veeva и передовые технологии для ускорения разработки лекарств и оптимизации взаимодействия с клиентами.

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 manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, Claude Science, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI trends and the evolving ecosystem. You may be a good fit if you : 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have sold complex technical products to Healthcare and Life Sciences companies. Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have : Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Deep HCLS GTM Experience : Demonstrated success adapting technical approaches to customers in payers, providers, life sciences, medtech, or other healthcare verticals. 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: 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 research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. 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 your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. 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 experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), 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 experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or 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.

Veeva Systems is building the industry cloud for Life Sciences to help companies work in a more efficient and connected way. Consulting is changing, and Veeva Business Consulting was launched in 2019 and has grown quickly to a global organization of over 400 people. The team focuses on making the Life Sciences industry more efficient and effective through software, data, and consulting working together. The company expects significant growth in Business Consulting towards 2030 and is looking for great people to make it happen. The Role: We are hiring high potential people who are early in their careers and want to pivot into Life Sciences Consulting through our Master Class Program. This program is designed as an entry path to shape experienced professionals as Business Consultants capable of making an impact for the Life Sciences industry. Early in the program, you will own key workstreams on customer-facing engagements to create high-impact business solutions while collaborating with team members at all levels of Veeva. You will be given tools and resources to accelerate your consulting skills development. Our Business Consulting team builds effective business and operational improvement strategies powered by Veeva’s unique industry insights and market-leading technology. Our offerings focus on speeding drug development, launching treatments more effectively, and shaping the best engagement for our customers. Requirements: Candidates should be graduating with an advanced degree or have 3-5 years of industry experience and be excited to pivot their career into consulting for a critical industry. The anticipated start date is April 2027. Work format: remote. When applying, please indicate that you found the vacancy on Remocate.

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. Our product - Total Battle is a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE POSITION We are looking for a UI/UX designer who focuses not only on how the interface looks, but how it’s actually used. Someone who can take on large features from early UX concepts to final UI, and staying true to the project’s overall style and working closely with the team throughout. You will join a cross-functional team of 10+ professionals focused on developing quality of life feautures for any-level players. WHAT YOU WILL DO - Improving and creating UX/UI solutions for the game. - Designing interfaces based on documentation. - Developing user flows, navigation logic, and interaction patterns. - Creating wireframes, low-fidelity prototypes, and UX concepts for new features. - Conducting basic UX research: analyzing player behavior, identifying pain points, and proposing improvements. - Validating ideas through prototypes and iterating based on feedback. - Drawing technical elements of the interface (icons, dice, buttons, windows). - Drawing art for interface windows, icons, collages, and small illustrations. - Thinking over and describing animations, and interface effects for further work of developers and animators. - Preparation of assets and transfer to developers. - Author's control of layout. REQUIRED QUALIFICATIONS - 3+ years of working experience as a UI/UX Designer - Understanding the principles of usability of game interfaces. - Experience working on interfaces for mobile and browser/PC games. - Proficiency in Adobe Photoshop and Figma. Skill in drawing 2D graphics. - Having an appropriate portfolio especially with strong UX cases. - Desire to develop in UX/UI. - Love games. - Willing to complete a test task. PREFERRED QUALIFICATIONS - A portfolio of mid-core style game interfaces. - Experience with 4X strategy games is a significant plus. - Interest in mobile games and current industry trends. WHAT WE OFFER - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Premium BUPA (UK) health insurance for you and your family, plus dental, vision, and annual check-ups - Monthly lunch compensation and free daily office breakfasts - 13th salary and bonuses for outstanding results, years of service, marriage, and childbirth. - Mental health platform, SportBenefit (gym/tennis/dance), driver's license support - A monthly pre-school, school, and university allowance for employees' children. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations. If you are interested to build the team behind the World's Most Ambitious Strategy Game -let's talk!

Задачи: — Поддержка и выполнение всех компонентов взаимодействия с клиентами (коммуникации, воркшопы, интервью с заинтересованными сторонами, анализ процессов и данных, управление сроками) — Сотрудничество с бизнес-консультантами для создания материалов, оптимизирующих операционные и бизнес-процессы клиентов — Использование программного обеспечения и данных Veeva для разработки конкретных бизнес- и операционных решений Требования: — Желание работать в интенсивной и сложной программе и среде — Отличные устные и письменные коммуникативные навыки — Процессно-ориентированное мышление, умение анализировать операции, цифры и данные для поиска возможностей улучшения — Степень бакалавра с хорошей академической успеваемостью — Недавний выпускник университета (до 1 года послевузовского опыта) — Свободное владение английским языком — Высокая трудовая этика — Высокая честность и порядочность — Готовность к командировкам до 20% рабочего времени в год Условия: — Начальная зарплата 45,000 GBP в год — После года успешной работы возможен значительный рост зарплаты и предоставление акций — Требуется легальное право на работу в Великобритании, компания не предоставляет спонсорство виз — Возможность работать из офиса или удаленно, но необходимо проживать в пределах 45 минут - 1 часа от офиса в Лондоне

Location: 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 French (France) to English (GB and US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate pharmacovigilance and/or clinical-regulatory content from French into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Occasionally support Transcription tasks, retyping scanned or handwritten PDFs into Word for downstream translation (requires a personal Gmail account for client platform access). Work within the client's CAT tool environment (XTM) following project-specific setup instructions. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating Life Sciences documents. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong French proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Availability to cover US business hours. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding. A personal Gmail account is required for linguists supporting Transcription tasks, for access to a client platform. 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: Poland; South Africa; Portugal; Spain; Philippines; Argentina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time About the company Our client is an FDA-registered and ISO 17025 accredited independent contract microbiology laboratory providing critical testing services across a diverse range of sectors, including pharmaceutical, medical device, cosmetic, and food industries. As a recognized authority in microbial analysis, the team specializes in product efficacy, safety screening, and research-driven identification. They utilize advanced methodologies to help global brands verify marketing claims and ensure regulatory compliance through rigorous ASTM, AOAC, and USP standard testing. Job Summary We are seeking a technically-minded Marketing & Content Specialist to bridge the gap between complex science and high-performing B2B marketing. In this role, you will be the voice of a leading laboratory, translating sophisticated microbiological and regulatory concepts into clear, credible content that resonates with QA Managers, R&D professionals, and Regulatory Affairs specialists. You won't just be writing; you will be the engine behind our HubSpot ecosystem, driving lead generation through email marketing, sales enablement, and database reactivation. This is a role for a doer who thrives on technical curiosity and precision. Key Responsibilities Interview internal microbiologists and subject matter experts (SMEs) to extract technical insights for content creation. Write and produce high-quality technical white papers, blog posts, case studies, and sales collateral. Manage and execute the HubSpot Marketing Hub strategy, including workflows, landing pages, list segmentation, and automated email campaigns. Lead database reactivation efforts to re-engage past leads and dormant accounts. Collaborate with an external SEO and PPC agency to align content creation with technical search strategies and campaign goals. Ensure all marketing materials remain compliant with industry regulations and strictly adhere to supported scientific claims. Deliver sales enablement tools that help the commercial team better communicate the value of accredited laboratory services. Requirements 3+ years of B2B marketing experience within Life Sciences, Laboratory Services, Industrial, or highly regulated sectors. Proven technical writing ability with a portfolio that demonstrates an ability to simplify complex topics without losing scientific accuracy. High proficiency in HubSpot Marketing Hub (Workflows, Landing Pages, Lists, and Email Marketing). Experience interviewing technical experts and translating findings into professional marketing assets. Solid understanding of SEO fundamentals and the ability to work effectively alongside a specialized agency. Professional-level written and spoken English with extreme attention to detail. A "hands-on" execution mindset; you are comfortable building and launching campaigns yourself, not just managing strategy. Availability for at least 4 hours of daily overlap with US Central Time (CST). Nice-to-Haves A degree in Science, Life Sciences, or Microbiology. Experience in Pharmaceutical or Medical Device marketing. Proficiency in visual tools such as Canva or Figma. Basic short-form video editing skills. Experience with GA4 and Google Search Console. Past experience marketing accredited services (ISO, etc.). Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

Location: Argentina; Colombia; Mexico; Honduras; Peru; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time About the company Our client is an FDA-registered and ISO-accredited independent contract microbiology laboratory providing critical analytical services to the pharmaceutical, medical device, and cosmetic industries. As a recognized authority in microbial testing, the team specializes in assessing product safety and efficacy through rigorous standards like ASTM, USP, and ISO. They serve a diverse global market—ranging from healthcare and food production to industrial materials—ensuring that essential consumer and medical products meet strict regulatory requirements for safety and performance. Job Summary We are seeking a consultative, technically-minded Account Executive to drive growth within the highly regulated life sciences sector. In this role, you will bridge the gap between complex client requirements and sophisticated laboratory solutions. Rather than a transactional salesperson, we are looking for a strategic partner who can speak the language of QA/QC, Regulatory Affairs, and R&D stakeholders. This is a vital position responsible for navigating the full sales cycle—from initial scoping and technical consultation to final closing—ensuring that clients in the pharmaceutical, medical device, and cosmetic industries receive the precise testing services they require to bring safe products to market. Key Responsibilities Own the full sales cycle, from lead qualification and initial discovery to proposal generation and closing. Act as a consultative partner to technical decision-makers, including QA/QC Managers, Regulatory Affairs professionals, and R&D teams. Translate complex client technical or regulatory requirements into actionable scopes of work in collaboration with internal technical teams. Prepare, deliver, and negotiate detailed quotes and Master Service Agreements (MSAs). Manage all pipeline and prospecting activity within HubSpot Sales Hub, ensuring high data integrity and accurate forecasting. Navigate vendor qualification processes and regulated procurement workflows within the life sciences industry. Maintain deep technical curiosity to stay ahead of industry regulations and emerging testing standards. Build and nurture long-term relationships with manufacturing partners to ensure recurring business and account growth. Requirements 4+ years of professional B2B sales experience. Documented success selling complex technical or laboratory services (e.g., CRO/CDMO, contract testing, scientific instrumentation). Proven ability to engage and influence technical stakeholders (QA/QC, Regulatory, or R&D). Strong scientific literacy; while a microbiology background is not required, the ability to learn and articulate technical concepts is essential. Experience managing a structured sales process within HubSpot Sales Hub. Exceptional professional written and spoken English, with the ability to draft precise technical proposals. Proven consultative selling skills, focusing on solution-building rather than "hunter-only" transactional tactics. Ability to work US Central Time hours (ideally 9:00 AM–5:00 PM CT). Nice-to-Haves Bachelor’s degree in Microbiology, Biology, Chemistry, or a related Life Sciences field. An existing network within the Pharmaceutical, Medical Device, Cosmetics, or Disinfectant Manufacturing sectors. Experience selling into Latin American manufacturing markets. Fluency in Spanish. Experience with MSA negotiations and high-level vendor qualification protocols. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

EQT Group предлагает интерншип для магистрантов в Лондоне с возможностью спонсоршипа. Вакансия связана с инвестициями в области наук о жизни и экономике здравоохранения. В описании вакансии подчеркивается приверженность компании принципам разнообразия, равенства и инклюзивности (DE&I), что способствует привлечению талантов с разнообразным опытом и взглядами. Вакансия является частью открытых позиций EQT Group, которые включают различные роли в разных офисах по всему миру, включая Лондон.

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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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.