This role pays more than
62%
of similar roles. Most pay
$205,000–$278,000
— the shaded band above.
At the midpoint, this role pays about
$259k
versus about
$242k
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
22 open roles
on FindRole.
Listed pay typically runs
$169,320–$219,120
across 21 roles with salary data.
Director, Advanced Analytics Architecture & Operations leads the strategy, delivery, and evolution of advanced analytics capabilities within the Data Science Development Systems team. This role involves shaping the technology roadmap for analytics platforms, data science enablement, and GenAI solutions to support clinical development and broader business priorities. The Director will manage open-source strategies, oversee engineering teams, and ensure the delivery of scalable, compliant, and high-impact solutions. Key responsibilities include defining technical visions for medical imaging analytics and establishing MLOps practices for model lifecycle management. Required skills include proficiency in Python, relational databases, cloud data platforms, Infrastructure-as-Code, and agile methodologies. The role addresses complex clinical and scientific needs within the life sciences domain, specifically focusing on drug development phases and the implementation of machine learning workflows to solve critical problems in a highly regulated environment.
Data Management
Data Architecture
Analytics
AI
Machine Learning
Master Data Management
Data Governance
Cloud Platforms
Business Intelligence
Data Modeling
Automation
GxP
NIST AI RMF
ISO 42001
Data Quality
Remote (Thousand Oaks, CA)39 days ago
$171,556–$232,105
Databricks
Python
SQL
Apache Spark
AWS
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Machine Learning
Agile
SAFe
Data Engineering
Analytics
Business Intelligence