Senior Data Science Leader: AI, GenAI & Analytics

Biopharma Careers; Foster City (CA); On-site; USD 182,000 - 236,000; Full time

Job summary

Gilead Sciences Inc. is seeking a Senior Manager, Data Scientist, Technical Development to lead applied analytics, ML/AI, and automation across TechDev.

You will partner with TechDev scientists, Digital Solutions, IT, and Quality to frame questions, prototype approaches, and build reusable decision-support capabilities. Initial focus includes predictive modeling, GenAI-enabled knowledge management, and workflow optimization.

Qualifications

• 10+ years of data science experience with statistical modeling and ML.
• Strong programming in Python or R and reproducible workflows.
• Ability to translate scientific questions into analytical strategies and outputs.
• Knowledge of data governance and scalable data pipelines.

Responsibilities

• Lead identified data science and analytics opportunities across TechDev.
• Prototype, test, interpret, and iterate analytical approaches in workflows.
• Translate questions into clear analytical problem statements and metrics.
• Lead cross-functional initiatives aligning analytics strategies and data standards.
• Design knowledge management capabilities including graphs and retrieval systems.
• Define evaluation frameworks and adoption metrics for AI-enabled solutions.
• Promote reuse of analytical assets across use cases and pipelines.
• Move analytics toward scalable, supported products and workflows.

Skills

Python

R

ML/AI

Data analysis

Communication

Education

PhD in a quantitative field

MS in quantitative field

BS in related field

Tools

GenAI

Cloud platforms

SQL

Job description

Gilead Sciences Inc. is seeking a Senior Manager, Data Scientist, Technical Development to lead applied analytics, ML/AI, and automation across TechDev.

You will partner with TechDev scientists, Digital Solutions, IT, and Quality to frame questions, prototype approaches, and build reusable decision-support capabilities. Initial focus includes predictive modeling, GenAI-enabled knowledge management, and workflow optimization.