Senior Principal Data Scientist (Healthcare & Life Sciences)
Hybrid in South San Francisco, CA, US • Posted 1 hour ago • Updated 1 hour ago

Skillify Solutions
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Job Details
Skills
- Python
- R
- SQL
- Spark
- AWS
- Azure
- GCP
- Cloud-native environment
- CDISC/SDTM/ADaM
- OMOP
- FHIR
- ICD-10
- data analysis
- data visualization
- Bayesian statistics
- Servival Analysis
Summary
Job Title: Senior Principal Data Scientist (Healthcare & Life Sciences)
Job Location: South San Francisco, CA - Hybrid
Job Duration: Long Term
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 Google Cloud Platform, 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/Google Cloud Platform/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.
- Dice Id: 91166119
- Position Id: 8897598
- Posted 1 hour ago
Company Info
At Skillify Solutions, we believe that anyone and everyone should be given the opportunity to build a successful career, irrespective of their prior academic or professional background. We play a pivotal role in the growth and success of learners and organizations through our top-notch training programs, boot camps, certification courses, placement services, and corporate consulting.
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