Trial Principal, Data & Analytics, Roivant Health

Roivant Sciences•New York, NY

5d•$130,000 - $220,000

About The Position

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. The Trial 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 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 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 foundation and fluency with data; you have used both to answer hard questions under pressure, not just to describe what happened
Genuine curiosity about science, medicine, or health; deep biology training is not required, but the underlying questions need to matter to you
Fast learner who gets up to speed in unfamiliar domains without needing a runway; you are comfortable operating at the edge of your knowledge
A track record of doing work that changed a decision or outcome, not just informed one
Able to communicate complex findings with clarity and confidence to senior stakeholders across disciplines

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