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Location: Atlanta, GA About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care is seeking an experienced, Full-time, licensed Hospice Social Worker for our Alpharetta / Atlanta, GA region. Responsibilities: Conduct a psychosocial assessment as part of the comprehensive assessment within 5 days of admission to the hospice program. This includes emotional, social, financial and environmental resources and to identify appropriate psychosocial problems, interventions and goals for the patient’s plan of care. Participate in IDG meetings and the development of the patient’s plan of care. Observe, record and report changes on the patient's emotional and social factors that are being affected by the patient's illness and his/her need for care and his/her response to treatment. Maintain and submit written clinical records as deemed by the Agency, including the initial evaluation, the care plan and daily notes. Evaluate the patients and family's response to, and effectiveness of, the medical social work intervention. Confirm, on a weekly basis, the scheduling of visits with the patients’ Case Managers to facilitate coordination of other staff visits. Participate in IDG and QAPI meetings and activities. If the patient/family declines Social Work services, the Social worker continues to offer support to the IDG in it’s care of the patient and to monitor the patient/caregiver’s evolving needs. Participate in discharge planning, as needed. Assume responsibility for self-development by continually striving to improve his/her Medical Social Worker practice through formal education, attendance at workshops and conferences, active participation in professional and related organizational meetings, and/or individual research and reading. Assess the patient's/ family members’ ability to cope with the patient’s dying. Act as consultant to the members of the health team, assists them in understanding the social, emotional and environmental factors related to the patient's health problems. Help patients to utilize the resources of their families and the community. Qualifications: The Medical Social Worker is an individual licensed by GA State Board of Social Work Examiners, has a master’s degree in social work form a graduate school of social work accredited by the Council on Social Work Education. Must be a Licensed Clinical or Master Social Worker (LCSW or LMSW) At least one year of post-master’s social work experience in a health care setting Hospice experience preferred. Ability to reliably handle and maintain confidential information. Must be a licensed driver with an insured automobile in good working order. The ability to communicate well, both verbally and in writing. Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets Experience in finance is a plus Excellent communication skills Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets Experience in finance is a plus Excellent communication skills Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Own the architecture and technical direction of crypto market connectivity, supporting QRT’s trading activities across digital asset exchanges and liquidity providers. Lead the design, development, validation, deployment and production support of low-latency trading gateways and market data handlers for crypto venues. Oversee market data ingestion, sequencing, normalisation, order book construction and downstream distribution across fragmented venues with differing protocols and data standards. Own exchange integrations, connectivity upgrades and venue onboardings, including gap analysis, implementation and testing, working directly with exchanges and third-party providers. Develop frameworks for data quality monitoring, gap detection, reconciliation, recovery and replay, addressing inconsistent schemas and varying levels of data quality across venues. Drive improvements in latency, throughput, resilience and operational stability within a 24/7 trading environment, defining technical KPIs and operational metrics to measure progress. Partner with traders, quantitative researchers and developers to deliver reliable market data and execution connectivity that support crypto trading strategies. Scale connectivity systems to support new exchanges, digital assets, spot and derivatives products, and evolving market structures. Work closely with infrastructure, operations, compliance and risk teams to ensure effective integration with upstream and downstream systems. Mentor and develop engineers, establishing high standards for technical ownership, code quality and delivery. Your present skillset Significant experience building low-latency trading infrastructure, with strong experience in crypto exchange connectivity or digital asset trading systems. Expert-level C++ development experience on Linux, alongside strong Python and bash scripting skills. Deep expertise in exchange trading gateways, market data feed handlers or connectivity platforms. Strong understanding of crypto exchange architecture and connectivity across major venues such as Binance, OKX, Bybit etc. Experience with exchange APIs and protocols, including WebSocket, REST, FIX and binary protocols where available. Experience designing and implementing real-time distributed systems, with strong knowledge of networking, multithreading, concurrency and memory optimisation. Strong understanding of market data sequencing, normalisation, order book construction and replay mechanisms. Experience implementing recovery and reconciliation processes to manage unreliable data sources, connectivity interruptions and exchange-specific behaviours. Good knowledge of crypto market structure, liquidity fragmentation, spot markets and derivatives, including perpetual futures. Proven ability to lead technical initiatives, influence architectural decisions and mentor engineers while remaining hands-on. A track record of delivering production systems with measurable improvements in performance, reliability or trading capability. Excellent communication and problem-solving skills, with the ability to collaborate effectively across engineering, trading, quantitative research and operational teams. Experience with decentralised exchange connectivity or traditional market access systems would be advantageous. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks’ priorities Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimise time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy Demonstratable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Singapore/Hong Kong/Shanghai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities Share and discuss research results, methodology, data sets and processes with other researchers Implement the signals and the relevant datasets within the global execution platform Monitor signal behaviour and model performance over time You would lead the full strategy research cycle from signal generation to implementation Your present skillset Direct experience as a quant researcher or trader, or in data science/machine learning space. Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead. Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with autonomy within a collegial and collaborative environment Strong capacity to communicate with technologists, data scientists and traders across the globe Proven track record in delivering successful systematic strategies QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: You will join a cross-functional team at the intersection of trading, data, and technology, playing a key role in building and enhancing the firm’s next-generation trading analytics and PnL infrastructure. Your responsibilities will include: Acting as a trusted partner to traders and quantitative researchers, providing insights on PnL, positions, and strategy performance Leading investigations into PnL discrepancies and trading anomalies Designing and developing dashboards and analytical tools for portfolio monitoring and management Contributing to the evolution of QRT’s reporting and analytics platforms through automation and data architecture improvements Performing reconciliations between trading, valuation, and risk systems Working closely with technology teams to build scalable data pipelines and tools Your present skillset: Strong academic background in Engineering, Computer Science, Mathematics, Quantitative Finance, or a related field Strong Python and SQL skills, with an interest in building scalable solutions Exposure to AWS cloud services is a plus Familiarity with DevOps practices and Python packaging is a plus Strong analytical and problem-solving skills Interest in financial markets, trading systems, and data infrastructure Ability to thrive in a fast-paced environment with high standards of accuracy and ownership Strong communication skills and ability to work with front-office stakeholders Collaborative mindset and intellectual curiosity Your enhanced experience and learning opportunities at QRT: Direct exposure to a front-office trading environment, working closely with traders and quantitative researchers Hands-on involvement in the development of business-critical trading analytics and PnL platforms Opportunity to contribute to large-scale data systems supporting systematic trading strategies Mentorship from experienced professionals across trading, quantitative research, and technology QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Remotely Workplace: remote At 90 Seconds, our mission is to connect brands and local creators everywhere to create and tell the world’s stories in motion.   We are looking for an experienced Concierge Manager to guide our customers through the video production journey using our online platform, ensuring the successful delivery of professional video creation services provided exclusively via our creator partners; planning & creative, shooting and editing. This unique role combines client, project, and community management, working across all aspects of the 90 Seconds platform - production operations, services, and brand accounts management.    As a Concierge Manager with extensive professional video production experience you will be part of 90 Seconds Concierge service. This Concierge service directly provided both production and account based services. What you'll love doing Successfully oversee the production of a number of video projects at any time, spanning from quoting, shoot and logistics planning, production management duties, to publishing. Oversee the delivery of 90 Seconds Services and Solution on the 90 Seconds platform Overview all the production services, ensuring the successful running of the 90 Seconds operations Ensure that 90 Seconds services are delivered consistently via processes in the system Manages the growth and relationships of 90 Seconds Brands. Facilitate communication between customers and creators to ensure smooth project delivery. Assist in resolving video project-related issues. Become the expert in our 90 Seconds Solutions and deliver each solution professionally and completely. You will love the Productize, Order, Matching, Delivery and Content & Account app features. Become the expert in these features and help deliver all these for our brands. You will be able to work with a large variety of creators globally Who you are Someone who has a really deep understanding of content, an in-depth understanding of the various content video types and being able to identify the requirements to fulfill this video production. Someone who has the ability to research, analyze and identify trends in video content creation and consumption and propose these to existing clients as opportunities. Has high level of experience in production from quoting, client management (Ordering Support), enable to pair gigs with the correct talent needed (matching), project management from start to finish (Run My Creation). Highly experienced in video production management - managing multiple projects end-to-end and juggling budgets, resources, schedules, clients. Someone who has skills in deconstructing a video to understand the production processes involved in its creation. Someone who has hands on experience using video creation hardware and software Someone with a strong sense of urgency, exceptional organizational skills, and natural relationship building ability; this is a dynamic and fast-paced role! Someone who has experience in content strategy and Planning. Someone who understands market trends, is able to identify gaps in client content plans and deliver solutions to help them be relevant and up to speed within the market video space. Someone who enjoys technology and collaborating with a global team online. Someone who understands can identify repeat purchase opportunities and can productize these opportunities. Someone who understands the different social platform content products, their formats and specifications. Someone who can quickly immerse themselves into a company culture - can quickly adapt to change at a high-speed pace, is data-driven, and can be fully ramped to achieve new business targets. Exceptional written, verbal, and interpersonal communicator, as building authentic relationships with clients and partners is a must. A flexibly “always-on” attitude to ensure project delivery dates are met. A huge plus if you have experience in live streaming and production of large scale events.

Location: Remote About the Company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. Since our founding in 2018, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 80 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the position In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs. Ultimately, your role is to help KoBold make valuable discoveries by identifying opportunities with rigorous evaluation and by ensuring that we safely and effectively conduct our field programs. Responsibilities Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners) Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods Qualifications A great Exploration Geologist candidate will have: Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS) Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration Demonstrated commitment to high standards of health and safety in the workplace A minimum of 3-7 years experience in the mineral exploration industry A valid passport (or the ability to obtain one) and willingness to travel to Mingomba or other exploration sites worldwide. It is helpful but not required to have: Working knowledge of one programming or scripting language (e.g., Python, R, C/C++) Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data International experience, particularly in the Central African Copperbelt Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply. What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. The US base salary range for this full-time exempt position is $70,000-$110,000. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.

Responsibilities: — Build and own the yeast surface display platform for binder generation. — Design and run display campaigns. — Build NGS readouts. — Collaborate with ML and protein design scientists to produce model-ready binding data. Requirements: — Experience with deep mutational scanning, molecular biology, protein engineering, NGS, quality control, library construction, flow cytometry, FACS, yeast surface display, cloning, binder discovery, and mutagenesis. Salary: $155,000 - $160,000 per year. Location: Emeryville, California, United States. The role involves onsite work.

Isomorphic Labs is looking for a Medicinal Drug Design Lead to drive medicinal chemistry strategy on portfolio projects, collaborate with AI/ML platform teams and manage CROs to advance drug discovery programs toward candidate nomination.

Location: Bengaluru, Karnataka, India Purpose: The purpose of this job description is to define the minimum qualifications and experience required, as well as the responsibilities of the Scientist – Aggregate Reporting. The aim is to ensure that job duties are performed in compliance with the company’s training program and all applicable global and local regulatory requirements, including but not limited to Good Clinical Practices (GCP), ISO standards, data protection laws, and other relevant local regulations. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for contributions, and coordinate with various stakeholders for obtaining relevant data for the preparation of aggregate safety reports. Review the safety data (including the seriousness and expectedness assessments of events, as may be necessary) as per the agreed strategy and sponsor’s conventions and verify the correctness and completeness of contributions received from stakeholders. Perform an aggregate review of post-marketing cases received in global databases and assess whether the cases alter the safety profile of the marketed product. Coordinate with various stakeholders, conduct planning and strategic meetings and obtain inputs required for drafting and finalizing the aggregate summary reports. Ensure that all aggregate summary reports are uploaded and archived in the globally accepted repositories within the client environment. Ensure that the end-to-end life cycle of the report, from drafting up to approval and release to the requester, is conducted in a timely manner. Draft the reports in specified templates based on the data evaluations and the sponsor’s recommendations. Address the review comments from internal stakeholders and submit the high-quality report to the Sponsor. Support in literature reviews and signal management activities, including but not limited to maintaining signal detection schedules, retrieval of safety data and reviews, documentation of signal assessments/detections, signal validation, and evaluations, and authoring of signal evaluations or ad-hoc safety reports on a need basis. Maintain awareness of major Aggregate reporting guidelines, including but not limited to GVP Modules V, VI, VII, and IX; ICH E2C R2; ICH E2F; EU MDR; 21 CFR 314.80/ 600.80; and Health Canada GVP GUI-0102. Perform quality reviews for the reports prepared by the peer aggregate report writers to verify the correctness and completeness as per the source data and compliance with the sponsor’s requirements. Perform periodic screening of designated HA websites for safety updates, labelling recommendations, signal evaluations, pass expectations and risk minimization measures. Secondary Responsibilities: Effectively organize work to complete the assigned tasks to meet deadlines. Ensure compliance with timelines, quality and training as specified in the project SLA. Mentor and bestow domain knowledge to the team. Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work. Able to independently perform tasks with minimal guidance & supervision. Ensure that all assigned goals [e.g., utilization and efficiency] are met as per set standards for the performance year. Responsible for ensuring training compliance and timesheet compliance. Ensure completion of any other tasks assigned by the reporting manager. Be aware of and comply with the QMS/ ISMS & PIMS Policy. Report any potential or actual Security Breaches to the regional and/or global DPO & Security Incidents to CISO/ applicable distribution list. Contribute towards the achievement of Quality Objectives. Ensure proper planning of the deliverable, foresee any risks that are likely to arise and alert the project lead/ manager whenever project deliverable risks are visualized. Conduct functional training for the team members and support the capability development of junior members. Alert and escalate to TL as required, whenever project deliverable risks are visualized or issues encountered impacting the delivery schedule. Follow and comply with the Company’s code of conduct, policies, and procedures. Skills and Qualifications: Bachelor’s or Master’s degree in life sciences or healthcare discipline, or its equivalent, in alignment with project/role/business requirements. 3-6 years - experience relevant for domain/ business requirements, and/OR appropriate expertise/knowledge evaluated via specific assessments. Good knowledge of global regulatory requirements and drug safety, and a thorough understanding of Regulatory guidelines. Familiar with drug safety (case management, familiarity with safety databases like ARGUS, ARIS G). Strong verbal and written communication skills and ability to communicate in a global environment.

Location: Latvia Join our global Pharmacovigilance team as a Pharmacovigilance Specialist in Latvia. Pharmacovigilance Specialist is responsible for assuring compliance with local and regional Quality Management System and interact, exchange relevant safety and pharmacovigilance information. Position is remote, home-based in Latvia. All CV's must be submitted in English language for the assessment. Responsibilities: Act as a Local Safety Officer in Latvia Communicate with Health Authorities Ensure compliance with applicable local guidelines and regulation Collect, process, and communicate of safety information Maintain and establish of quality standards for local pharmacovigilance activities Ensure weekly monitoring of local literature review Participate in inspection and/or audits Ensure the survey and monitoring of national pharmacovigilance regulations Receive and handle medical information enquiries from patients and health care professionals Requirements Biologist, Pharmacist, Medical Doctor, or other life science degree 3-year experience in Pharmacovigilance Fluent English and Latvian Computer literacy (MS Office), experience with PV databases Strong organizational and time management skills Ability to work independently and in a team Benefits Professional growth and career opportunities International team and environment Personal accident and business trip insurance Additional health insurance Remote/home based Rewarding referral policy Workplace establishment allowance Team building, global meetings

Киотский университет проводит исследовательскую программу Amgen Scholars: участники работают в лабораториях и знакомятся с исследованиями в биотехнологиях. — Для студентов бакалавриата вузов Азии из перечня организатора: к началу программы нужно завершить первый год, а после неё продолжить обучение минимум 1 семестр или четверть.

— Кандидаты могут быть из любой страны; к началу PhD необходим диплом магистра, медицинский диплом или эквивалент в соответствующей области.

Location: San Francisco, CA | New York City, NY; Washington, DC 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 has done pioneering work examining the economic impacts of AI. The AI & Rule of Law team takes an analogous approach to a different question: how will AI affect our constitutional democratic institutions? Increasingly powerful AI systems will put pressure on societal functions at every level — the courts, legislatures, electoral systems, oversight bodies, and the legal frameworks that hold democratic governance together. Our team exists to ask hard questions about those vulnerabilities, and to seek out strategies for protecting democratic freedoms — in the short and long term, through both technical and policy levers. This is early, high-stakes research. The team is small, the problems are genuinely unsolved, and the work will matter. We are looking for someone with deep expertise in both AI and at least one of: government, political science, or public policy. The ideal candidate understands the technical landscape well enough to reason about AI capabilities and risks, and understands democratic institutions well enough to see where those risks become structural threats. Key responsibilities Projects on this team are illustrative rather than fixed — we expect the research agenda to evolve as both AI capabilities and institutional pressures change. Current and expected focus areas include: Making fundamental contributions to the development and expansion of our public data and research on how people use AI for politics, including regular reports and deep dives on elections and policy topics, and grow into leading this work over time Designing and conduct empirical research on AI’s political effects, drawing on external data sources and the privacy-preserving measurement systems internally Designing, running, and analyzing experiments on systems of many AI agents, testing whether and when tools from political economy (rules, monitoring, voting, dispute resolution) help agents govern themselves and stay under human oversight Developing new methodological approaches for studying AI’s impact on: Developing measurement and causal-inference tooling to help Anthropic evaluate the downstream political consequences of its own training, product, and policy decisions Building and maintaining relationships with academic institutions, policy think tanks, and other research partners, and serve as the point of contact for outside researchers who use our data Working cross-functionally with other technical teams to improve our measurement infrastructure and data collection Translating research insights into actionable recommendations for model training, product decisions, and policy discussions Amplifying external engagement through research publications, policy briefs, convenings, and presentations to diverse stakeholders Minimum qualifications A primary degree in political science, or a closely related field at the Ph.D. level A computational research background in Political Science, Economics, or a related field Demonstrated ability to produce rigorous, public-facing work — scholarship, policy analysis, government output, or a published body of writing Preferred qualifications Experience relevant to the study of AI’s impact on politics Track record of empirical research, particularly studies combining novel data sources and game theory or those implementing frontier methods in causal inference Comfort operating with significant autonomy in an environment where the problems are new and the playbook is still being written At least five years of relevant experience in academia, industry, or government Some Examples of Our Recent Work Preparing for the 2026 US midterms Measuring political bias in Claude Clio: Privacy-preserving insights into AI use Introducing The Anthropic Institute 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: $295,000 — $345,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Workplace: Удалённый Влияйте на развитие популярных продуктов, собирайте и изучайте данные, которые помогают принимать бизнес-решения. Только из дома. Требования * Работали с количественными маркетинговыми, продуктовыми, социологическими или IT-исследованиями от 3 лет, будет плюсом опыт работы в IT-компаниях или агентствах * Получили высшее профильное (исследования, UX/UI, психология, социология, маркетинг или смежные области) или непрофильное образование, при этом окончили курсы и работали в сфере исследований * Обрабатывали и анализировали данные опросов, умеете работать с MS Excel, SPSS, R, DataTile или другими инструментами анализа данных * Знаете, как подбирать методологию и выборку, составлять квотное задание, анкеты, знакомы с исследовательской терминологией и основами статистики, можете предложить оптимальный дизайн исследования * Самостоятельны, внимательны и ответственны, готовы работать в режиме многозадачности, обучаться и быть на связи с заказчиками и командой

Требуется специалист, готовый оперативно и качественно выполнять задачи по подбору лекарств, обслуживанию рецептов и обеспечению удовлетворенности клиентов. Проверка поступивших товаров, размещение продукции на складе, контроль реализации товаров, ведение отчетности продаж.