roivantsciences

Senior Analyst, Real-World Evidence (RWE)

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At a Glance

Location
Roivant Sciences, Inc., 1 Pennsylvania Plaza, 54th floor, New York, NY 10119, United States
Experience
2+ years
Compensation
ole will generally be between $130,000 - $145,000 per year at the commencement
Posted
2026-03-09T14:41:24-04:00

Key Requirements

Required Skills

Data ScienceExcelPowerPointPythonSQLTableau

Domain Knowledge

  • Automation
  • Healthcare

Requirements

At least 2 years of professional experience in RWE, HEOR, or healthcare data roles using administrative claims or similar observational data

Bachelor’s degree in a quantitative field (e.g., epidemiology, biostatistics, health economics, data science, statistics, or a related discipline)

Advanced SQL proficiency, with demonstrated experience writing complex queries across large, real-world healthcare datasets. Strong understanding of claims data structures, study design considerations, coding systems (ICD, CPT, HCPCS, NDC), and common data limitations

Proficiency in Excel and PowerPoint

Strong written and verbal communication skills

Analytical mindset with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines

Responsibilities

The Real-World Evidence (RWE) team is part of the Commercial Analytics Department and is responsible for generating insights from large-scale healthcare data to support Roivant and the broader Vant family of companies.  This role will independently lead projects, collaborate with cross-functional stakeholders, design and execute observational studies, and translate results into clear and actionable insights.

Extract, clean, and transform administrative claims and other real-world data using SQL

Design and execute observational analyses to answer RWE, HEOR, commercial, and clinical development questions

Build, document, and maintain reproducible code and workflows; perform validation and quality checks to ensure reliable outputs

Synthesize results into concise deliverables that highlight implications, assumptions, and limitations