This role pays less than
54%
of similar roles. Most pay
$197,500–$276,830
— the shaded band above.
At the midpoint, this role pays about
$224k
versus about
$237k
for comparable roles.
Based on 239 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
22 open roles
on FindRole.
Listed pay typically runs
$169,320–$219,120
across 21 roles with salary data.
Associated Director Data & AI Delivery Lead – Clinical Development serves as a key leader within the enterprise AI strategy to drive end-to-end technical delivery of AI/ML solutions for clinical operations, data management, safety, and regulatory domains. The role involves managing Agile delivery, including sprint planning and backlog prioritization, while overseeing the development of scalable solutions using Databricks, AWS, and internal enterprise platforms. Responsibilities include making architecture decisions, establishing code quality standards, maintaining technical documentation for data pipelines, and ensuring compliance with GxP requirements. The position requires expertise in data engineering, data science, or architecture to solve complex problems within clinical development. Candidates must possess strong leadership skills to manage hybrid teams and vendor relationships while navigating the complexities of research data models, automation workflows, and integrated enterprise data systems.
Machine Learning
Large Language Models
Generative AI
Natural Language Processing
Python
SQL
Deep Learning
Model Evaluation
Clinical Data
EMR Systems
Data Science
Responsible AI
HIPAA
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Data Governance
Low-code
Process Automation
Clinical Operations
Good Clinical Practice (GCP)
Biostatistics
Graph Algorithms
Data Visualization
Change Management
Project Management
Program Management
Artificial Intelligence
Machine Learning
Deep Learning
SDLC
Agile
Scrum
Data Science
Data Governance
Data Visualization
Statistical Analysis
Time Series Analysis
GxP
Clinical Operations
Change Management