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

Gilead Sciences•Raleigh, NC

9d•$146,200 - $189,200•Hybrid

About The Position

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 and Master Data Management 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, Master Data Management 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. Manage PDM Master Data Management needs. 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 and Master Data Management expert for Data & AI technical teams. This position is based in Raleigh, NC (hybrid-eligible).

Requirements

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
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

Nice To Haves

Exposure to PDM and Tech Ops processes in a corporate environment a plus
Knowledge of ERP and manufacturing systems
Familiarity with GxP/GMP

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
Support PDM and Tech Ops Master Data Management needs
Document current-state workflows for Supply Chain, Manufacturing, Tech Development/PD, 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