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

Gilead Sciences

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$146,200–$189,200 / yr
Posted
2 days ago
Closes
Jun 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $168k
$135k most similar roles pay here $249k

This role pays less than 73% of similar roles. Most pay $165,000–$237,550 — the shaded band above. At the midpoint, this role pays about $168k versus about $201k 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 10 open roles on FindRole.

Listed pay typically runs $175,695–$227,370 across 10 roles with salary data.

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View all roles at Gilead Sciences

At a glance

TL;DR · 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 experienced AI Data Science Lead for Pharmaceutical Development & Manufacturing (PDM) and Tech Ops (Technical Operations). This senior-level role involves developing deep expertise in PDM and Tech Ops processes to design scalable, validated, and compliant AI solutions that enhance speed, quality, and efficiency across the development lifecycle. Day-to-day responsibilities include leading end-to-end AI/ML solution implementation, conducting prompt engineering strategies, and serving as a domain expert for technical teams. The ideal candidate will have a background in statistics or data science, experience with LLM testing and model experimentation, and familiarity with GxP/GMP regulations. Strong systems thinking, problem-solving skills, and the ability to mentor junior data scientists are essential. This role is pivotal in driving AI innovation within a highly regulated pharmaceutical environment, focusing on process optimization and regulatory compliance.

What you'll do

  • Design and execute strategies to optimize AI model performance in PDM and Tech Ops.
  • Lead end-to-end AI/ML solutions for PDM and Tech Ops use cases, translating business logic into technical specifications.
  • Serve as a domain expert for AI model design, feature engineering, and solution architecture in PDM and Tech Ops.
  • Document current-state workflows and drive process transformation opportunities using AI-enabled processes.
  • Validate AI solutions against regulatory requirements including GxP standards.
  • Manage portfolio-level tracking and metrics across all finance AI/ML use cases.

What we're looking for

  • Bachelor’s or higher degree in statistics, data science, or computer science with 5+ years of relevant experience
  • Experience with prompt engineering, LLM testing, and AI model experimentation
  • Knowledge of PDM and Tech Ops processes in a corporate environment
  • Strong systems thinking ability to visualize workflows and identify process optimization opportunities
  • Familiarity with GxP/GMP regulatory requirements and manufacturing systems
  • Excellent problem-solving skills and the ability to multitask and prioritize projects
  • Strong oral and written communication skills for mentoring junior data scientists

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