{"id":57363,"url":"https://alion.io/job/gilead-sciences-associate-director-data-scientist","title":"Associate Director, Data Scientist","company":{"id":8130,"name":"Gilead Sciences","domain":"gilead.com","url":"https://alion.io/company/gilead","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":20,"ghost_share":0,"stale_share":0.65,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210375,"max":272250,"currency":"USD","period":"year","gross":null,"usd_annual":272250},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-08-13T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-15T08:49:10Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":64},"description":"At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.\nEvery member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.\nWe believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.\nJob Description\nResponsibilities:\nAI Operations, Contractor Delivery & Hands-On Technical Work\nWorks as part of a team responsible for managing contractors, technical delivery partners, and AI workstreams across applied AI initiatives.\nSupports contractor onboarding, work planning, technical direction, delivery coordination, quality review, and accountability for assigned work.\nProvides hands-on technical direction for AI prototypes, model development, application patterns, data pipelines, and production AI systems.\nReviews technical designs, architecture decisions, model evaluation plans, code quality, implementation tradeoffs, and production-readiness.\nContributes to prototypes, proof-of-concepts, notebooks, design documents, technical spikes, and code reviews when needed.\nPromotes scientific rigor, reproducibility, engineering excellence, responsible AI practices, documentation, and maintainable delivery patterns.\nAI Research, Applied Innovation & Product Value\nLeads development, evaluation, deployment, and scaling of AI capabilities supporting research, development, clinical, regulatory, safety, and enterprise use cases.\nApplies product thinking to ensure AI solutions address clear user needs, workflow realities, business priorities, adoption goals, and measurable outcomes.\nPartners with Product Management & Experiences to understand user needs, prioritize opportunities, define success metrics, and support adoption.\nUses experimentation, user feedback, benchmarking, and iterative delivery to validate assumptions and improve AI capabilities over time.\nIdentifies opportunities to use emerging AI technologies to accelerate scientific discovery and operational effectiveness.\nUses experimentation, user feedback, benchmarking, and iterative delivery to validate assumptions and improve AI capabilities over time.\nIdentifies opportunities to use emerging AI technologies to accelerate scientific discovery and operational effectiveness.\nTechnical Architecture & Engineering Excellence\nDesigns and guides AI solution architectures for assigned projects and business domains.\nGuides development of Retrieval-Augmented Generation systems, agentic workflows, prompt and context engineering patterns, evaluation harnesses, model monitoring, and Langfuse-based observability.\nSets expectations for production-quality code, automated testing, version control, reproducible experiments, scalable deployment patterns, and operational documentation.\nDevelops reusable AI frameworks, tools, accelerators, platforms, and services that enable faster delivery across Research, Development, and enterprise functions.\nHelps troubleshoot complex issues across data quality, model behavior, latency, reliability, security, scalability, cost, compliance, and user experience.\nResponsible AI, Governance & Production Operations\nEnsures AI solutions follow applicable governance, privacy, security, regulatory, and responsible AI expectations.\nImplements practical approaches for Large Language Model evaluation, groundedness assessment, hallucination risk management, traceability, and quality measurement.\nUses platforms such as Langfuse or equivalent approved tooling for LLM tracing, debugging, prompt and response analysis, observability, evaluation workflows, and production monitoring.\nSupports Machine Learning Operations, Large Language Model Operations, continuous integration and delivery, model monitoring, observability, and operational support practices.\nCollaboration & Stakeholder Engagement\nCollaborates with Product Management & Experiences, Business Delivery Excellence, Enterprise AI & Governance Excellence, ARC translational AI teams, and Development partners.\nPartners with scientists, therapeutic area leaders, clinical teams, regulatory functions, Information Technology, Privacy, and Drug Development Systems to prioritize high-impact AI opportunities.\nCommunicates technical concepts, product strategy, risks, tradeoffs, and delivery progress clearly to technical and non-technical audiences.\nContributes to ARC initiatives that advance AI capabilities, governance, adoption, product innovation, and operational excellence.\nRequirements\nMinimum Education & Experience\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Statistics, Engineering, or related discipline with 4+ years of relevant industry experience.\nMS in a related discipline with 8+ years of relevant experience.\nBS in a related discipline with 10+ years of relevant experience.\nDemonstrated expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, or related disciplines.\nExperience guiding technical contributors, contractors, or cross-functional project teams, including technical direction, coaching, delivery oversight, and quality review.\nHands-on experience building, evaluating, and deploying AI or machine learning solutions in applied research, product, or enterprise environments.\nCore Technical Requirements\nStrong hands-on programming skills in Python and practical experience with modern AI and machine learning libraries such as PyTorch, TensorFlow, or equivalent approved technologies.\nExperience in clinical trial operational data, real-world data, and supporting trial feasibility, site selection and forecasting.\nExperience building Generative AI applications with LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, Langfuse, AWS-native AI services, Microsoft Azure services where appropriate, or equivalent approved enterprise technologies.\nExperience designing and implementing Retrieval-Augmented Generation systems, including chunking, embeddings, vector search, reranking, grounding, citation patterns, retrieval evaluation, and response quality measurement.\nExperience developing agentic AI workflows, tool-use patterns, orchestration approaches, guardrails, human-in-the-loop review models, prompt engineering, context engineering, and model evaluation techniques.\nExperience with APIs, microservices, notebooks, Git-based development, automated tests, containerization, deployment patterns, monitoring, and operational support for AI systems.\nExperience deploying AI solutions in regulated environments with appropriate governance, security, privacy, compliance, scalability, reliability, and responsible use controls.\nAI Domain Expertise\nStrong knowledge of Generative AI, Large Language Models, advanced analytics, and applied machine learning.\nExperience in one or more of the following areas: foundation models, multimodal AI, agentic AI systems, scientific machine learning, knowledge graphs, Retrieval-Augmented Generation, Natural Language Processing, or advanced deep learning.\nExperience designing evaluation frameworks for Large Language Models, including accuracy, groundedness, hallucination risk, robustness, latency, cost, safety, user acceptance, and Langfuse-based tracing or evaluation workflows.\nExperience translating research and experimental AI concepts into scalable production capabilities.\nCloud, Engineering & Operations Stack\nExtensive experience with Machine Learning Operations, Large Language Model Operations, continuous integration and delivery, cloud-based AI infrastructure, observability, model monitoring, and automated testing.\nExperience working with Amazon Web Services and Microsoft Azure, including AI, machine learning, data, security, and scalable compute services.\nExperience using Langfuse or equivalent approved tooling for LLM application tracing, debugging, prompt and response analysis, production observability, evaluation workflows, and quality measurement.\nExperience applying software engineering methodologies, scalable AI architectures, reusable components, documentation standards, and maintainable production systems.\nProduct, Leadership & Business Acumen\nDemonstrated product mindset with experience translating technical capabilities into solutions that deliver measurable user and business value.\nExperience partnering with product managers, designers, engineers, scientists, and business stakeholders throughout the product lifecycle.\nProven ability to align technical strategies with business goals and communicate complex concepts effectively to non-technical stakeholders.\nDemonstrated success working with multidisciplinary teams, managing contractors or technical delivery partners, and mentoring technical contributors.\nAbility to balance experimentation and innovation with execution, adoption, operational impact, and measurable outcomes.\nProven ability to influence programs, projects, and initiatives in a matrixed environment.\nPreferred Qualifications\nExperience applying AI in life sciences, drug development, clinical research, healthcare, or regulated industries.\nExperience contributing to publications, patents, open-source projects, technical communities, or internal technical standards.\nStrong analytical, communication, organizational, and stakeholder management skills.\nAbility to travel as needed.\nThe salary range for this position is: $210,375.00 - $272,250.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.For additional benefits information, visit:\nhttps://www.gilead.com/careers/compensation-benefits-and-wellbeing\n* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.\nFor jobs in the United States:\nGilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, geneticinformation or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact  for assistance.\nFor more infor...","description_format":"text","description_chars":13472,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-08-13T00:00:00Z"},{"event":"close","at":"2026-09-28T12:52:14Z"},{"event":"reopen","at":"2026-10-06T15:48:30Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.533,"p_room":0.36,"age_days":64,"expected_fill_days":35,"reasons":["conf:20","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":272250,"is_top_pay":true},"html_url":"https://alion.io/job/gilead-sciences-associate-director-data-scientist","json_url":"https://alion.io/job/gilead-sciences-associate-director-data-scientist.json","meta":{"generated_at":"2026-10-16T23:25:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5410,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8130},"rest":"https://alion.io/mcp/rest/get_company?id=8130"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgilead-sciences-associate-director-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgilead-sciences-associate-director-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgilead-sciences-associate-director-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gilead-sciences-associate-director-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgilead-sciences-associate-director-data-scientist"}]}