Senior Principal Data Scientist (Healthcare & Life Sciences) South San Francisco, CA - Hybrid
Duration: Long term
Senior Principal Data Scientist (Healthcare & Life Sciences)
Position Overview
As a Senior Principal Data Scientist, you will serve as a technical visionary and strategic partner within the Product Development Data Sciences organization. You will lead the design and implementation of advanced analytical solutions that transform complex biological, clinical, and real-world data (RWD) into actionable insights. Your work will directly impact clinical trial design, regulatory submissions, and the delivery of personalized healthcare solutions.
Key Responsibilities
· Strategic Leadership: Act as a thought leader in defining the roadmap for data science capabilities. Partner with clinical, medical, and commercial leaders to translate high-level scientific questions into robust analytical frameworks.
· Advanced Modeling & AI: Lead the development of predictive models using machine learning (ML), deep learning, and causal inference to optimize patient recruitment, identify novel biomarkers, and simulate clinical trial outcomes.
· Data Ecosystem Architecture: Oversee the integration and productization of diverse data streams, including EHR, Claims, Genomics, and Digital Health data, ensuring alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles.
· Regulatory & Quality Excellence: Guide teams in navigating the regulatory landscape (e.g., FDA/EMA) for AI/ML-based evidence. Ensure all analytical workflows comply with GCP, HIPAA, and GDPR standards.
· Mentorship & Influence: Technical lead for a global team of data scientists and engineers. Foster a culture of technical excellence, reproducibility, and continuous learning through code reviews and architectural audits.
Education
· PhD (strongly preferred) or Master's in Data Science, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
Experience
· 12+ years of professional experience in data science, with at least 8 years specifically within the Biotech, Pharma, or Healthcare sectors.
Technical Stack
· Expert proficiency in Python or R; Deep experience with SQL, Spark, and cloud-native environments (AWS/GCP/Azure).
Domain Knowledge
· Deep understanding of the drug development lifecycle, clinical trial data standards (CDISC/SDTM/ADaM), and healthcare ontologies (OMOP, FHIR, ICD-10).
· Mastery of longitudinal data analysis, survival analysis, Bayesian statistics, and high-dimensional data visualization.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.
Physical Demands
This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.
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