AI Data Science Lead – PDM & Tech Ops (Gilead & Kite)
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
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. Join Gilead and help create possible, together.
AI Data Science Lead – PDM & Tech Ops (Gilead & Kite)
Role Overview
As part of Gilead’s enterprise AI strategy to accelerate the delivery of life-changing therapies, we are seeking an AI Data Science Lead to drive AI/ML innovation across Pharmaceutical Development & Manufacturing (PDM) and Tech Ops (Technical Operations).
This role will develop deep expertise in PDM and Tech Ops processes and design AI-enabled solutions to improve speed, quality, and efficiency across the development lifecycle. You will partner with Product Owners, Solution Architects, and Delivery Leads to ensure scalable, validated, and compliant AI solutions. Reporting to the Director, Data & AI (PDM and Tech Ops), the successful candidate will manage portfolio tracking and metrics across PDM and Tech Ops AI/ML initiatives while serving as an authoritative PDM and Tech Ops domain expert for Data & AI technical teams.
This position is based in Foster City, CA (hybrid-eligible).
Key Responsibilities
Design and execute prompt engineering strategies and conduct experimentation to optimize AI model performance
Lead end-to-end AI/ML solutions across PDM and Tech Ops use cases. Lead process discovery across PDM and Tech Ops functions and translate business logic into technical specifications for AI solutions
Serve as PDM and Tech Ops SME in AI model design, feature engineering, and solution architecture
Document current-state workflows for knowledge management, quality, CMC and design future-state AI-enabled processes and translate into AI-ready problem definitions; Drive process discovery and transformation opportunities
Validate AI solutions against current-state workflows and regulatory requirements (including GxP, controls)
Contribute to the development of data solutions and provide post-implementation support including troubleshooting and root cause analysis
Manage portfolio-level tracking, executive dashboards, and metrics across all finance AI/ML use cases
Mentor junior data scientists
Skills and Experience
Bachelor’s or higher degree in statistics, data science and/or computer science and 5+ years of relevant experience
Experience with prompt engineering, LLM testing, or AI model experimentation
Exposure to PDM and Tech Ops processes in a corporate environment a plus
Good systems thinking ability – seeing connections and patterns and able to visualize workflows and processes. Experience or education on process design preferred.
Able to visually depict activity in a process flow and identify opportunities to optimize processes using automation and AI
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