Real-World Data Lead Data Scientist/Manager

Job Details

New York, NY
Posted Date:
Jan. 21, 2021

Job Summary

Job Summary

Roivant is a global biopharma company improving health by rapidly delivering innovative medicines and technologies to patients. We do this by building Vants - nimble, independent, entrepreneurial companies focused on delivering results in quick and innovative ways. We support our subsidiaries by building best-in-class technologies to support the development and commercialization of pharmaceuticals. Our mission is to improve health by rapidly delivering innovative medicines to patients.

The Vant Technology team is building data products to support these goals. A core component of our data-driven strategy is the use of real-world data (RWD), particularly focused on expanding and enhancing the power of our clinical trials by allowing population sub-segmentation, pre-NDA HEOR, data-only Phase 4, label expansion, and synthetic control arm trials. To achieve this goal, you will collaborate closely with clinical trial design and operations teams at our subsidiary pharmaceutical Vants, data and analytics experts at our sister company Sumitovant, and internal engineering teams. The RWD data science team is responsible for identifying RWD opportunities, analysis (design, implementation, and execution), and communicating results to drive value in our clinical trials.

What you will do:

  • Serve as the lead scientist/researcher for health economics and outcomes research studies - from study initiation to final reporting - under the direction of the head of RWE
  • Conduct statistical analyses utilizing SQL, Python, or relevant software
  • Develop and maintain relationships with our pharma Vants and partner with senior executives to understand data and evidence needs and provide insight into the power of RWD analytics
  • Partner with our technology companies, Lokavant and Datavant, to leverage the data and technologies they have built to bolster our RWD practice
  • Lead and execute RWD analyses, including publishing peer-reviewed work where appropriate
  • Develop and apply novel statistical methodologies to identify data asset gaps
  • Bring new ideas and approaches to the organization, helping define our research and analytics offerings and contributing as a thought leader

Who you are:

  • Advances quantitative graduate degree in the life sciences, health economics, epidemiology, or related field (PhD preferred), plus 5+ years of work experience
  • Experience with real-world data (medical claims, pharmacy claims, EMR data, etc.) to generate scientifically rigorous results
  • Deep experience in designing, collecting, and analyzing RWD using EHRs, patient charts and administrative claims datasets
  • Proficient in SQL and one of python or R and experience working with large datasets
  • Ability to take detailed observational study results and communicate them in a clear, non-technical manner to internal cross-functional teams
  • Contribute to company publications strategy via development of conference abstracts, presentations, peer-reviewed manuscripts based on the findings of RWE studies
  • Experience interacting with the FDA or other regulatory bodies a plus
  • Experience with payers a plus