Exel
AI Principal Engineer - Clinical Data Analytics
Alameda, CA · Principal
Sponsorship not specified$172k-$245kDetected 13 days ago
PythonDatabricksAWSCloud PlatformsCI/CDDevOpsMachine LearningData AnalysisData EngineeringData ScienceData VisualizationLLMsLLMOpsMLOpsStatisticsUnityCommunicationCollaborationTime ManagementGxP
About the role
- The role combines strategic vision, deep technical expertise, strong governance discipline and hands-on execution, enabling Exelixis to responsibly leverage data engineering, advanced analytics and AI in a highly regulated environment.
- The base pay range for this position is $172,000 - $245,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Responsibilities
- 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.
- 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.
- Evaluate, select and optimize data management, analytics and AI technologies and tools.
- Performs other duties as assigned
- The AI Principal Engineer - Clinical Data Analytics is a leader responsible for building and scaling data engineering and AI capabilities across the Development organization.
- Advanced skills in developing and administering BI platforms, including Spotfire, Tableau, and Power BI.
Requirements
- It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
- 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 minimim of nine years of related experience
- Advanced experience with Databricks, Unity Catalog, Delta Lake and lakehouse governance.
- Advanced proficiency in Python and SQP
- working knowledge of R if needed.
- Demonstrate strong understanding of AI/ML models, model performance, efficiency and algorithm explainability.
- 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).
Skills
- Equivalent combination of education and experience.
- Knowledge, Skills and Abilities
- Advanced technical expertise in SaaS AWS Cloud Infrastructure, including SE, EC2, Lambda, Glue, Redshift.
Compensation
- The base pay range for this position is $172,000 - $245,000 annually.
- The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location.
Benefits
- Owns data architecture, governed data products, and cloud-native engineering patterns that enable analytics, machine learning, and Generative AI use cases in a regulated environment.
- Effectively contributes highly developed analytical skills, conceptual thinking and integrative vision required to drive customer needs, business performance and risk management.
Company info
- Intermediate skills with CI/CD Tooling and Version Control as part of Data Pipeline and Data Integration strategies.
This listing is sourced directly from Exel's careers page and normalized into a canonical job model.