Senior Analyst, Real-World Evidence (RWE)

Roivant Sciences • New York, NY

5h • $130,000 - $145,000 • Hybrid

About The Position

Roivant is a biopharmaceutical company that aims to improve the lives of patients by accelerating the development and commercialization of medicines that matter. Roivant advances its pipeline by creating nimble subsidiaries or “Vants” to develop and commercialize medicines and technologies. Since its inception in 2014, Roivant has achieved the following critical milestones in support of its vision: built over 20 Vants; 12 consecutive positive Phase 3 trials; 8 FDA approvals; 5 successful IPOs; >$6B in capital raised; >$10B in global pharma partnerships and proceeds; and continued pipeline expansion across various modalities and therapeutic areas through in-licensing and acquisition of novel product candidates and technology platforms. In addition to a robust clinical stage pipeline, Roivant also incubates discovery-stage companies and health technology startups complementary to its biopharmaceutical business.
We embrace diversity across all dimensions and levels of the organization, and we strive to ensure every employee is supported in reaching their full potential. We hire motivated people with diverse backgrounds, identities, experiences and skillsets. We are committed to fostering an inclusive culture where all employees feel valued, respected and empowered to create value for patients.
To learn more about our story and company culture, please visit us at https://roivant.com/
Position Location: NYC - Hybrid
Manager Title: Manager, Real-World Evidence
Position Summary:
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.

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
• Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects
• Familiarity with EHR data
• Experience with statistical programming tools (e.g., R, Python)
• Experience with data visualization tools (e.g., Tableau)
• Experience integrating LLMs into data workflows to improve scalability, automation, and efficiency

Responsibilities

• 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
• Develop and maintain reference medical ontologies and related healthcare databases
• Identify opportunities to streamline processes and develop reusable assets to improve scalability and consistency

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level