AI Data Science Lead - PDM & Tech Ops (Gilead & Kite)

AI Data Science Lead – PDM & Tech Ops (Gilead & Kite)

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
• Curious and agile learner across multiple domains
• Strong problem definition and problem solving skills
• Able to multitask, prioritize and manage projects
• Strong oral and written communication skills
• Familiarity with GxP/GMP
• Knowledge of ERP and manufacturing systems

The salary range for this position is: $146,200.00 - $189,200.00. 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.

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* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.

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