AI Delivery Lead, Data Science for Clinical Development

Gilead Sciences, Inc; Raleigh (NC); Hybrid; USD 127,000 - 164,000; Full time

Job summary

Gilead Sciences Inc. in Raleigh, NC, is seeking a Manager, Data Science & AI Delivery Lead to design and deliver advanced analytics, ML and generative AI for Clinical Development and Medical Affairs.

This hybrid role combines hands-on leadership with end-to-end ownership of data products. The successful candidate will lead cross-functional teams, ensure scientific credibility, regulatory compliance and measurable business outcomes, and drive adoption across clinical and medical workflows in a

Qualifications

• Bachelor’s degree in data science, statistics, computer science, engineering, applied mathematics, bioinformatics, life sciences or related discipline with 6+ years of experience, or a master’s with 4+ years.
• Hands-on experience with Python, SQL and data science libraries.
• Experience delivering data science products from prototyping to production.

Responsibilities

• Lead discovery with stakeholders to define analytical questions and success metrics.
• Prototype and productionize ML/NLP/AI solutions with robust validation.
• Coordinate with data engineering, MLOps, architecture, platform, security and QA teams.
• Own end-to-end delivery including roadmap, sprint execution and adoption.

Skills

Python

SQL

Machine learning

NLP

Generative AI

Data exploration

Feature engineering

Experimentation

Model development

Agile delivery

Stakeholder management

Education

Bachelor’s degree in data science or related field

Master’s degree (optional)

Tools

Databricks

AWS

MLflow

Vector search

Retrieval-augmented generation

LLM evaluation

Veeva

Job description

Gilead Sciences Inc. in Raleigh, NC, is seeking a Manager, Data Science & AI Delivery Lead to design and deliver advanced analytics, ML and generative AI for Clinical Development and Medical Affairs.

This hybrid role combines hands-on leadership with end-to-end ownership of data products. The successful candidate will lead cross-functional teams, ensure scientific credibility, regulatory compliance and measurable business outcomes, and drive adoption across clinical and medical workflows in a