natera

Sr. Manager, Biopharma Real World Data Analyst

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At a Glance

Location
United States
Work Regime
remote
Employment
employment_required
Experience
4+ years
Posted
2026-03-17T15:29:12-04:00

Key Requirements

Required Skills

AWSData AnalysisData ScienceGCPMachine LearningRSQL

Domain Knowledge

  • Clinical
  • Education
  • Engineering
  • Healthcare
  • Pharmaceutical

Requirements

●        Technical & Statistical Mastery:

o   Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).

o   Track record of leading RWD analytical studies from initial scoping through to publication or dissemination.

o   Proficient in using R and SQL, especially statistical tools and packages.

o   Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows.

o   Adherence to good software engineering practices (version control, modular code, documentation).

Responsibilities

The Real-World Data & Analytics (RWDA) group within the Biopharma team at Natera works with major Biopharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Natera’s real-world data offering.

We are seeking a highly motivated and solutions-oriented RWDA / Data Scientist with experience and interest in oncology, molecular analysis and epidemiological study design to join our team.

This role requires the individual engage customers to generate new hypotheses and research questions, iterate and interrogate existing hypotheses and research questions, design research projects, conduct and iterate on the analysis as well as derive insights from complex real-world multi-modal, multi-time point molecular and clinical data.

The individual will also implement advanced statistical methods, and utilize internal analytical tools, interfaces as well as AI tools to generate, visualize and enhance insights.

●        Team Reporting: data analysts will report directly to the Sr.

Manager.  This role will be responsible for identifying, hiring, mentoring, training and supervising the team across a number of customers.