Principal, Data & Analytics

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.

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.

Position Summary The Principal, Data & Analytics will own the statistical and quantitative work that connects clinical evidence to the most important decisions Roivant makes across its pipeline. This is not a strategy role — this is a figure-things-out and get-things-done role in a high-stakes environment with substantial ownership. We expect you to get to ground truth on the hardest clinical and scientific questions the company faces, working directly in trial datasets and translating rigorous analysis into recommendations that leadership acts on.

The Principal will pressure-test the clinical assumptions underpinning key pipeline and commercial decisions, build the statistical frameworks needed to evaluate evidence across assets, and ensure Roivant has a clear-eyed view of what its data actually shows. The scope is intentionally broad and is well-suited to a high-potential individual earlier in their career with exceptional upside and a strong desire to take on responsibility.

Responsibilities

Clinical Trial Data & Signal Detection Work directly in ongoing and completed clinical trial datasets (CSRs, patient-level data, interim readouts) to identify efficacy signals, safety patterns, and subgroup effects that inform go/no-go and commercialization decisions Build rigorous statistical analyses from scratch: mixed-effects models, longitudinal models, Bayesian frameworks, subgroup analyses, and sensitivity analyses across Roivant's pipeline assets Monitor emerging safety signals and unexpected findings in real time across ongoing studies; surface and contextualize them for leadership before they become surprises Pressure-test clinical assumptions: challenge endpoint choices, scrutinize statistical analysis plans, and flag where the data does not support the narrative Execute focused 1-5 day analytical sprints on the highest-priority questions from Roivant and Vant leadership Evidence Synthesis & Competitive Intelligence Develop a deep, differentiated read of the clinical evidence base for Roivant's near-commercial assets: what the data shows, what it does not, and where the science is genuinely uncertain Analyze competitors' trial data, published and unpublished, with the same rigor applied to Roivant's own: endpoints, patient populations, effect sizes, and durability Synthesize findings from literature, registries, claims, and proprietary datasets into coherent evidence narratives that hold up under scrutiny Data Infrastructure & Cross-Platform Work Drive selection and integration of the data sources needed to support portfolio decisions, including claims, labs, clinical trial data, and genomics Help build shared analytical infrastructure across Roivant and Vant companies Identify opportunities to apply consistent statistical frameworks across assets and therapeutic areas

Qualifications

Exceptional record of achievement from a top-tier university Outstanding analytical ability and a relentless drive to get to the right answer; you do not stop at a plausible one Strong quantitative fou