Principal, Data & Analytics

Responsibilities

• Work directly in clinical trial datasets to identify efficacy signals, safety patterns, and subgroup effects
• Build rigorous statistical analyses including mixed-effects models, longitudinal models, and Bayesian frameworks
• Monitor emerging safety signals across ongoing studies and contextualize findings for leadership
• Pressure-test clinical assumptions and scrutinize statistical analysis plans
• Analyze competitors' trial data and synthesize evidence from literature, registries, and claims
• Drive selection and integration of data sources including claims, labs, clinical trial data, and genomics
• Build shared analytical infrastructure across Roivant and Vant companies

Requirements

• Exceptional record of achievement from a top-tier university
• Outstanding analytical ability and drive to get to the right answer
• Strong quantitative foundation and fluency with data
• Genuine curiosity about science, medicine, or health
• Fast learner comfortable operating at the edge of knowledge
• Track record of doing work that changed a decision or outcome
• Able to communicate complex findings with clarity to senior stakeholders

About the Company

Roivant Sciences seeks to improve health by rapidly delivering innovative medicines and technologies to patients. Since 2014, the company has employed a decentralized model of focused companies ("Vants") centered on drug development and technology, with five approved medicines and multiple public biotechs spanning computational drug discovery, healthcare data exchange, and novel therapeutic platforms.