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# AI Data Science Lead - Research (Gilead & Kite)AI Data Science Lead - Research (Gilead & Kite)

- **Company:** Gilead Sciences Inc.
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Salary:** $146,200.0 - $189,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Data Systems, Machine Learning, Large Language Models, Prompt Engineering, Information Technology
- **Published:** October 6, 2026
- **Apply:** https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---North-Carolina---Raleigh/AI-Data-Science-Lead---Research--Gilead---Kite-AI-Data-Science-Lead---Research--Gilead---Kite-_R0052731-1

## About the Role

* Bachelor's or higher degree in Data Science, Computer Science, Bioinformatics, or related field with 6-10 years of experience
 * Strong experience applying AI/ML to life sciences research
 * Experience with prompt engineering, LLMs, and AI experimentation
 * Exposure to research domains such as discovery or translational sciences
 * Strong systems thinking and problem-solving skills
 * Experience working with scientific datasets (omics, imaging, or non-clinical)
 * Strong communication skills across scientific and technical teams
 * Ability to manage multiple AI initiatives and priorities

## Description

You will design and deliver AI-enabled solutions to accelerate scientific discovery and improve decision-making. You will partner with Product Owners, Solution Architects, and Delivery Leads to ensure scalable and compliant AI solutions. Reporting to the Director, Data & AI (Research), this role will lead end-to-end AI use cases and manage portfolio tracking and metrics across Research AI/ML initiatives., * Design and execute prompt engineering strategies and conduct experimentation to optimize AI model performance

 * Lead end-to-end AI/ML solutions across research use cases including pathological image processing, target identification and biomarker discovery
 * Translate scientific workflows into AI-ready problem definitions and technical specifications
 * Serve as Research SME in AI model design and solution architecture
 * Document current-state research workflows and design future-state AI-enabled processes
 * Apply AI and LLM-based approaches to unstructured scientific data
 * Validate AI solutions against scientific rigor and reproducibility standards
 * Support development of scalable AI solutions and provide post-implementation support
 * 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