Sr. Manager, AI/ML Lead - Foster City, CA
Gilead SciencesAbout the role
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 materials. 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
Key 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.
Stakeholder collaboration: Collaborate with Legal, Compliance, and Regulatory teams to turn review workflows into AI-powered solutions that speed up material review while lowering regulatory risk. Serve as the bridge between business stakeholders and AI delivery converting Legal and Compliance review needs into trusted, auditable solutions that cut review time and regulatory exposure.
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.
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