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Roivant Sciences
Actively Hiring
Reinventing biopharma501-1000 Employees
  • B2B
  • Public Stage
    Publicly traded company
  • Top Investors
    This company has received a significant amount of investment from top investors

Jobs at Roivant Sciences

Roivant is a global biopharma company that aims to improve health by rapidly delivering innovative medicines and technologies to patients. We do this by building Vants – nimble, entrepreneurial biotech and healthcare technology companies with a unique approach to sourcing talent, aligning incentives, and deploying technology. At Roivant, we will give you the resources and freedom to tackle some of the most important and challenging problems in healthcare. If you find that exciting, we want to work with you.
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Management

Senior Solution Architect, Finance Systems

NewPosted 1 week ago

Senior Solution Architect, Finance Systems

  • Assess the current-state integration landscape across enterprise finance systems and define a future-state integration architecture vision, including governance standards for integration development, security, testing, deployment, and operations
  • Own and drive end-to-end solution architecture and design for enterprise platform implementatio...
Other

Rotational Analyst

NewPosted 3 weeks ago

Rotational Analyst

  • Investments: Evaluating in-licensing opportunities to expand Roivant’s portfolio of life changing medicines
  • Research and Development: Performing literature reviews to identify indication expansion opportunities in support of Vants
Other

Senior Analyst, Roivant Health

NewPosted 2 months ago

Senior Analyst, Roivant Health

  • Build systems in SQL and Python that pull signals out of commercial, claims, and electronic health record data automatically
  • Create durable, repeatable analytical pipelines based on senior leadership priorities and questions
Engineering

Founding Engineer, Roivant Health

NewPosted 9 months ago

Founding Engineer, Roivant Health

  • Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and building initial proof-of-concept systems
  • Design, build, and iterate on tooling, infrastructure, and workflows to run AI/ML training and inference workloads at scale across varied health × AI applications