G
Not Specified Permanent

Raleigh, North Carolina · USA job

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

GILEAD Sciences

Raleigh, North Carolina

Job description

Overview

In this role you will drive AI/ML innovation across PDM and Tech Ops to accelerate the development and manufacturing of therapies. You'll partner with cross-functional teams to design scalable, compliant AI solutions and manage portfolio metrics. You'll serve as a domain expert and mentor junior scientists while translating business needs into technical problem definitions. Join a mission-driven team delivering life-changing therapies.

Compensation / Benefits
  • discretionary annual bonus
  • discretionary stock-based long-term incentives
  • paid time off
  • medical, dental, vision, and life insurance plans
  • benefits package
  • competitive compensation
Responsibilities
  • Design and execute prompt engineering strategies to optimize AI model performance
  • Lead end-to-end AI/ML solutions across PDM and Tech Ops use cases
  • Conduct process discovery and translate business logic into AI-ready specifications
  • Act as SME in AI model design, feature engineering, and solution architecture
  • Document current-state workflows and define future-state AI-enabled processes
  • Validate AI solutions against workflows and regulatory requirements (GxP)
  • Contribute to data solutions and provide post-implementation support
  • Manage portfolio-level tracking, dashboards, and metrics across AI/ML use cases
  • Mentor junior data scientists
Key requirements
  • Bachelor or higher in statistics, data science and/or computer science with 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 is a plus
  • Good systems thinking and ability to visualize workflows; process design experience preferred
  • Strong problem definition and problem-solving skills
  • Able to multitask, prioritize, and manage projects
  • Strong oral and written communication; familiarity with GxP/GMP
  • Knowledge of ERP and manufacturing systems
  • curious and agile learner
  • strong communication skills
  • problem-solving mindset
  • prompt engineering
  • LLM testing
  • AI/ML model experimentation

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