Principal, Data & Analytics

Roivant (Nasdaq: ROIV) is a commercial-stage biopharmaceutical company that aims to improve the lives of patients by accelerating the development and commercialization of medicines that matter. Roivant’s pipeline includes LISRAYA™ (brepocitinib), a potent small molecule inhibitor of JAK1 and TYK2 FDA-approved for the treatment of dermatomyositis in adult patients and also in late-stage development for the treatment of non-infectious uveitis, cutaneous sarcoidosis and lichen planopilaris; IMVT-1402, a fully human monoclonal antibody targeting FcRn in development across several IgG-mediated autoimmune indications; and mosliciguat, an inhaled sGC activator in development for pulmonary hypertension associated with interstitial lung disease. We advance our pipeline by creating nimble subsidiaries or “Vants” to develop and commercialize our medicines and technologies. For more information, visit www.roivant.com . 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 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