Trial Principal, Statistician, Roivant Health

Roivant Sciences•New York, NY

5d•$130,000 - $220,000•Onsite

About The Position

The Trial Principal, Statistician 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 Clinical 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.

Requirements

Exceptional academic background from a top-tier program in statistics, mathematics, computer science, or a related quantitative field
Deep command of statistical and computational methods: mixed-effects models, longitudinal analyses, Bayesian approaches, machine learning, and the judgment to know which tool fits the problem
Demonstrated interest in life sciences, biology, or health. While you do not need a biology degree, you are genuinely curious about how medicines work and what clinical data means
Hands-on experience working with large, complex datasets; you have built analyses from scratch, not just run existing pipelines
High capacity for learning; you pick up new domains quickly and are comfortable operating in areas where you are not yet an expert
Track record of translating rigorous analysis into decisions; your numbers have changed something
Able to communicate complex quantitative findings clearly to non-technical audiences, including CEO-level stakeholders
Intensely curious, resourceful, and motivated; you run toward hard, ambiguous problem

Responsibilities

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
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
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