Senior Principal Data Scientist (Life Sciences)- 12+ Yrs Exp

Job Title: Senior Principal Data Scientist (Life Sciences)- 12+ yrs exp Job Location: South San Francisco, CA - Hybrid Job Duration: Long Term Max Pay: $70/Hr on C2C 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. Education & Experience • Bachelor's degree in Information Technology, or a related field.