AI Principal Engineer - Clinical Data Analytics
$172,000–$245,000 year
On-siteAlameda, California, United States
Job Summary
Develop production AI/ML and Generative AI solutions, including evaluation, deployment, monitoring, and lifecycle management. Partner with business leaders to identify, scope, prioritize, and deliver high-impact, outcome-driven analytics and AI use cases. Lead MLOps/LLMOps practices for model deployment, prompt/version management, monitoring, and governance. Standardize reusable data models, semantic layers, and APIs for downstream analytics and AI applications. Serve as a trusted advisor to functional leaders, translating business questions into data and analytics solutions. Enable timely, data-driven decision-making through harmonized metrics, KPIs, and insight frameworks. Collaborate with Legal, Compliance, and Security teams to ensure AI solutions meet regulatory and ethical standards. Design, implement, and evolve modern data architectures, including data warehouses, data lakes, and data pipelines. Ensure scalable, reliable, and high-performance data platforms in collaboration with infrastructure and IT teams. Evaluate, select, and optimize data management, analytics, and AI technologies and tools. Establish best practices for prompt engineering, AI usage training, and model governance to ensure safe, effective adoption.
Required Qualifications
- Bachelor's degree in Computer Sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimum of eleven years of related experience
- Master's degree in Computer Sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimum of nine years of related experience
- Equivalent combination of education and experience
- Advanced experience with Databricks, Unity Catalog, Delta Lake and lakehouse governance
- Advanced proficiency in Python and SQL
- Working knowledge of R if needed
- Intermediate knowledge and enterprise experience leading data acquisition, analytics, and AI-based capabilities across multiple clinical domains
- Intermediate knowledge of Delta Lake, Data Modeling Best Practices and Delta Lakehouse architecture
- Intermediate knowledge of Metadata Management and Data Lineage Tracking in Unity Catalog
- Intermediate knowledge of Enterprise Data Governance Methodologies and Data Cataloging Tools (e.g., Atlan, Colibra, Reltio)
- Advanced skills in developing and administering BI platforms, including Spotfire, Tableau, and Power BI
- Advanced technical expertise in SaaS AWS Cloud Infrastructure, including SE, EC2, Lambda, Glue, Redshift
- Intermediate skills with CI/CD Tooling and Version Control as part of Data Pipeline and Data Integration strategies
- Intermediate abilities in Data Modeling and Warehouse Infrastructure Architecture
- Advanced knowledge and abilities in Data Modeling, Data Integration Development, DevOps and Data Governance
- Intermediate knowledge and skills in administering and developing with classified sensitive data and analytical products
- Advanced knowledge and ability to provide data services and system ownership in a GxP-governed enterprise setting
- Intermediate knowledge of Databricks maintenance and monitoring implementation strategies
- Advanced knowledge of pharmaceutical and/or CRO industry practices with broad experience in one or more of the domains of Clinical Data Strategy and Insights
- Advanced interpersonal, influencing, presentation, written and verbal communication skills
- Advanced organizational and time management skills
- 30% Ability to travel globally
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.