Vice President, Real World Evidence (RWE)

RecursionSalt Lake City, UT
8h$319,000 - $437,800Hybrid

About The Position

Recursion is currently seeking a seasoned leader to join our team as Vice President, Real World Experience. This role will lead RWE generation across the Recursion portfolio. The role will be responsible for building a world-class team of statisticians, pharmacoepidemiologists, and statistical programmers. This VP and their team will partner closely with the biometrics team, clinical development, and other internal stakeholders. The role will involve, but will not be limited to, supporting study planning, generating natural history data to contextualize rare disease trials, contributing to health authority interactions, supporting value demonstration for submission to HTA bodies, and other evidence-generation needs. We are looking for someone who is innovative and can build systems, programs, and teams from the ground up.

Requirements

  • 12+ years of relevant experience in biotechnology or pharmaceuticals
  • Strong background in causal inference in non-randomized settings
  • Strong background in machine learning
  • Familiarity with at least one statistical programming language such as SAS, R, Python, or others.
  • Knowledge of the regulatory landscape for rare diseases and oncology.
  • Knowledge of regulatory guidance on the use of RWE.
  • Knowledge of the global reimbursement landscape and the use of RWE for reimbursement support
  • Strong written and oral communication skills
  • Ability to travel as needed to our various office locations; up to 25%
  • Bachelor’s in a quantitative field; Masters or PhD in a quantitative field preferred

Nice To Haves

  • Bonus points for familiarity with CDISC standards

Responsibilities

  • Build, develop, and lead our RWE team
  • Participate in governance meetings and provide strategic and scientific input
  • Build a roadmap for real-world data licensing and prioritization
  • Strategic and scientific contribution to interventional study design and planning
  • Conduct externally controlled studies where appropriate and relevant
  • Natural history data generation to support study planning and contextualize observed efficacy in rare disease programs
  • Support external stakeholder engagement, such as regulatory agencies and HTAs
  • Build academic partnerships

Benefits

  • You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
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