AI Data Science Lead, Research

Gilead Sciences

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raleigh, NC
Salary
$146,200–$189,200 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $168k
$133k $265k
below market most similar roles pay here above market

This role pays less than 72% of similar roles. Most pay $165,000–$232,775 — the blue band above. At the midpoint, this role pays about $168k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Gilead Sciences

Gilead Sciences, Inc. is a leading American biopharmaceutical company specializing in discovering, developing, and commercializing innovative medicines for unmet medical needs.

Gilead Sciences currently has 37 open roles on FindRole.

Listed pay typically runs $168,980–$218,680 across 28 roles with salary data.

Most-posted roles

View all roles at Gilead Sciences

At a glance

TL;DR · AI Data Science Lead, Research

JOB TITLE: AI Data Science Lead – Research (Gilead & Kite) The AI Data Science Lead – Research (Gilead & Kite) joins the Research team to drive AI/ML innovation as part of an enterprise strategy to accelerate therapy delivery. This role involves designing and delivering AI-enabled solutions for target discovery, translational research, biomarker development, and cell therapy. Key responsibilities include executing prompt engineering strategies, conducting experimentation to optimize model performance, and translating scientific workflows into technical specifications. The successful candidate will manage end-to-end use cases, including pathological image processing and LLM-based approaches for unstructured scientific data. Required skills include experience with omics and imaging datasets, prompt engineering, and LLMs. The role solves complex problems in life sciences research by ensuring scalable, compliant AI solutions that maintain scientific rigor and reproducibility standards.

What you'll do

  • Design and execute prompt engineering strategies and conduct experiments to optimize AI model performance.
  • Lead end-to-end AI/ML solutions for pathological image processing, target identification, and biomarker discovery.
  • Translate scientific workflows into AI-ready problem definitions and technical specifications.
  • Apply AI and LLM-based approaches to analyze unstructured scientific data.
  • Validate AI solutions against scientific rigor and reproducibility standards.
  • Document current-state research workflows and design future-state AI-enabled processes.
  • Manage portfolio-level tracking, executive dashboards, and metrics across AI/ML use cases.
  • Mentor junior data scientists on AI and machine learning initiatives.

What we're looking for

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

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