Sr. Manager, AI/ML Lead - Foster City, CA

Responsibilities

• Model development & tuning: Build, fine-tune, and evaluate AI/LLM models trained on regulatory requirements and adaptable to Gilead products, internal content, and approved templates.
• Knowledge base engineering: Design and maintain retrieval-augmented (RAG) knowledge bases incorporating FDA and other regulatory requirements, Gilead-specific product labels, and clinical data.
• Review automation: Develop capabilities that check materials for label consistency, claim substantiation against clinical data, citation accuracy, balanced efficacy/safety information, and IP protection (patents, trademarks).
• Data pipelines: Engineer secure, scalable ingestion and processing pipelines for diverse material types (strategy documents, ad board slides, scientific narratives, congress symposium slides, press releases, external publications, grants, market research, RFAs, and more).
• Evaluation & quality: Establish evaluation frameworks, accuracy benchmarks, and human-in-the-loop validation to ensure trustworthy, auditable outputs.
• Governance & compliance: Ensure solutions meet data privacy, security, validation ( GxP where applicable), and responsible-AI standards.
• MLOps : Implement model deployment, monitoring, versioning, and continuous improvement practices.

Requirements

• Bachelor's Degree and Eight Years' Experience
• OR
• Masters' Degree and Six Years' Experience
• 5+ years of experience in AI/ML engineering, with hands-on work building LLM/generative-AI applications (fine-tuning, RAG, prompt engineering).
• Strong programming skills in Python and modern ML frameworks.
• Experience designing knowledge bases and retrieval systems over large, unstructured document corpora.
• Experience with AWS cloud AI platforms and MLOps tooling.
• Solid data engineering fundamentals: pipelines, data modeling, and large-scale processing.
• Experience in pharmaceutical, biotech, life sciences, or other highly regulated industries.
• Familiarity with FDA and global regulatory requirements, promotional review (MLR/MRC/PRC) processes, or compliance workflows.
• Experience with contract lifecycle management (CLM) systems - Apttus/Conga preferred - and contract data structures.
• Knowledge of clinical data structures, product labeling, and medical/scientific content.
• Experience with responsible AI, model governance, and validation in regulated environments.
• Understanding of IP concepts (patents, trademarks) as applied to content review.
• People Leader Accountabilities :
• -Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.
• -Develop Talent - understand the skills,

Benefits

Additional Information

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. Every 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. We 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. Job Description Gilead Sciences is seeking an AI/ML Lead to design, build, and operationalize an AI-powered platform that accelerates Legal and Compliance review of mater ials. The solution leverages AI models trained on regulatory requirements and tunable on Gilead products, internal materials, and best-practice templates. You will integrate FDA and other regulatory knowledge bases alongside Gilead-specific labels and clinical data to enable faster, more consistent, higher-quality material review while reducing regulatory risk. This is a high-impact role at the intersection of generative AI, regulatory science, and enterprise data engineering, partnering closely with Legal, Regulatory, and Compliance stakeholders

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