Senior AI Data Scientist I
Exelixis
August 18, 2026
Remote friendly (Alameda, CA)
United States
IT
Summary/Job Purpose
- Develop, train, and validate AI/ML models and analytics solutions that transform clinical datasets into analysis-ready deliverables supporting drug-development decisions in a GxP-governed pipeline.
Essential Duties/Responsibilities
- Build, train, and validate supervised/unsupervised ML models to predefined acceptance criteria.
- Clean, transform, and standardize clinical data from EDC, vendor, and real-world sources aligned to CDISC (SDTM/ADaM).
- Develop and maintain LLM/generative AI workflows for automated TLF review and ad-hoc queries with human-in-the-loop validation.
- Create interactive dashboards/visualizations for clinical review and decision-making.
- Perform data validation/quality assurance to ensure accuracy, reproducibility, and GxP compliance.
- Support Databricks/AWS pipeline development using Git/GitHub version control and CI/CD.
- Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations; maintain SOP-consistent documentation.
Education/Experience
- BS (7+ years) or MS (5+ years) in a quantitative field, or equivalent.
- PhD: no prior structured/unstructured AI/ML required; MS: 1+ year; BS: 3+ years; no degree: 7+ years.
Required/Preferred Skills
- Intermediate Python (Pandas/NumPy/scikit-learn), R, basic SQL.
- Supervised/unsupervised learning fundamentals; basic NLP/text mining/time series.
- Basic LLM APIs/prompt engineering; Databricks/Delta Lake; AWS (S3, Lambda, Glue).
- Git/GitHub + Jira; BI tools (Spotfire/Tableau/Power BI).
- Basic ICH/GxP and CDISC concepts; strong communication, collaboration, attention to detail.
Benefits (explicitly stated)
- 401k with generous company contributions; medical/dental/vision; life/disability; flexible spending; discretionary annual bonus/incentive; stock purchase; 15 vacation days; 17 paid holidays (incl. winter shutdown); up to 10 sick days.
Application instruction
- For disability accommodations: recruiting@exelixis.com.
- Develop, train, and validate AI/ML models and analytics solutions that transform clinical datasets into analysis-ready deliverables supporting drug-development decisions in a GxP-governed pipeline.
Essential Duties/Responsibilities
- Build, train, and validate supervised/unsupervised ML models to predefined acceptance criteria.
- Clean, transform, and standardize clinical data from EDC, vendor, and real-world sources aligned to CDISC (SDTM/ADaM).
- Develop and maintain LLM/generative AI workflows for automated TLF review and ad-hoc queries with human-in-the-loop validation.
- Create interactive dashboards/visualizations for clinical review and decision-making.
- Perform data validation/quality assurance to ensure accuracy, reproducibility, and GxP compliance.
- Support Databricks/AWS pipeline development using Git/GitHub version control and CI/CD.
- Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations; maintain SOP-consistent documentation.
Education/Experience
- BS (7+ years) or MS (5+ years) in a quantitative field, or equivalent.
- PhD: no prior structured/unstructured AI/ML required; MS: 1+ year; BS: 3+ years; no degree: 7+ years.
Required/Preferred Skills
- Intermediate Python (Pandas/NumPy/scikit-learn), R, basic SQL.
- Supervised/unsupervised learning fundamentals; basic NLP/text mining/time series.
- Basic LLM APIs/prompt engineering; Databricks/Delta Lake; AWS (S3, Lambda, Glue).
- Git/GitHub + Jira; BI tools (Spotfire/Tableau/Power BI).
- Basic ICH/GxP and CDISC concepts; strong communication, collaboration, attention to detail.
Benefits (explicitly stated)
- 401k with generous company contributions; medical/dental/vision; life/disability; flexible spending; discretionary annual bonus/incentive; stock purchase; 15 vacation days; 17 paid holidays (incl. winter shutdown); up to 10 sick days.
Application instruction
- For disability accommodations: recruiting@exelixis.com.