Apptad-Senior Principal Data Scientist (Healthcare & Life Sciences)

South San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job 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 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 Masters 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 visualizati

Education & Experience

Bachelors degree in Information Technology or a related field.

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 Scie...