Senior Analyst, Roivant Health

Since its inception in 2014, Roivant Sciences has sought to improve health by rapidly delivering innovative medicines and technologies to patients. We've employed a unique, decentralized model of nimble, focused companies ("Vants") centered on innovation in drug development and technology. Five new medicines have been approved off the Roivant platform, we've built multiple biotechs that have become public companies, and we've created substantial value across the platform spanning computational drug discovery, healthcare data exchange, and novel therapeutic platforms.

Roivant Health is Roivant’s platform for the creation of new technology Vants, focused on delivering improvements to human health outside of our traditional biotech platform.  In six years since inception, we’ve created eight enduring companies and over $1B in enterprise value, including the leading deidentified healthcare data exchange platform (Datavant) and a top-tier computational drug discovery company (VantAI) which has partnered with Johnson & Johnson, Bristol-Myers Squibb, and Boehringer Ingelheim. Our goal is to improve human health by rapidly discovering, developing and delivering innovative medicines and technologies to all patients. Our success is predicated on attracting and retaining top talent, generating new ideas and promoting an open and collaborative culture.

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.

You will build the analytical pipeline that turns Roivant's commercial and real-world data into answers to its biggest decisions. It's a role for high-agency people who thrive in a fast-moving environment, take ownership, and run hard at hard problems — with direct exposure to senior leadership and a front-row seat to watching your work change decisions that matter.

You'll be a key contributor in cross-functional problem-solving sessions, translating complex business questions into analytical problems and building the models and processes that answer them. You'll help shape our internal commercial analytics by writing highly optimized code and delivering innovative, scalable solutions.

• →Build systems in SQL and Python that pull signals out of commercial, claims, and electronic health record data automatically
• →Create durable, repeatable analytical pipelines based on senior leadership priorities and questions
• →Synthesize analyses into clear, decision-ready memos and presentations that inform strategic decisions around near-term commercial launches
• →Embed with decision-makers to quickly ship analyses, and iterate in tight loops on the highest-priority questions from Roivant and Vant leadership
• →Present your work to colleagues, communicating insights in a clear and compelling way

• BS/MS in Computer Science, Engineering, Economics, Biology or another quantitative or scientific field
• 2 to 4 years of experience in an analytical or quantitative role
• Proficiency in SQL and Python
• Familiarity with claims data, electronic health records, and diagnostic codes is a plus
• Able to explain complex quantitative findings clearly to non-technical audiences, including CEO-level stakeholders
• Intensely curious, resourceful, and motivated

Roivant is preparing to become the next breakout commercial-stage biotech, with several near-commercial assets approaching launch. Getting those launches right takes an unusually rigorous understanding of the commercial and real-world evidence that defines each market: what the data actually shows, not what anyone wishes it showed. It also takes the systems to keep that understanding current as the data changes.

This role builds both. It carries real ownership, direct exposure to senior leadership, and a path toward future senior roles across the platform.