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Biostatistician II, RWE

Tempus

Tempus

Data Science
Chicago, IL, USA
Posted on Wednesday, March 6, 2024

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The Real World Evidence (RWE) team at Tempus partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance to Tempus’s real-world data offering. We are seeking a highly motivated and capable Biostatistician with extensive experience and interest in the design and analysis of pharmacoepidemiological studies to join our team.

Responsibilities:

  • Contribute to the design and execution of RWE studies by developing protocols, crafting statistical analysis plans, and creating analysis deliverables such as table shells, leveraging Tempus’s data to support external Pharma Medical Affairs, HEOR, and RWE team objectives. Lead independent analysis of Tempus data for Pharma RWE studies, involving extensive coding, comprehension of Tempus molecular and clinical data, acquisition of oncology-specific clinical insights, derivation of real-world endpoints using time-to-event methodology, and staying abreast of current NCCN guidelines and the evolving oncology landscape within a retrospective database.
  • Present insights from RWE studies to external Pharma epidemiologists and medical liaisons through formal presentations, providing strategic recommendations. Communicate research findings effectively, interpreting results and drawing appropriate inferences based on study design/statistical methods, while also evaluating study limitations.
  • Collaborate with internal product, engineering, oncology, bioinformatics, and clinical abstraction teams to continually enhance Tempus data quality and feature builds for retrospective analysis. Work with translational research and computational biologists to analyze Tempus sequencing data within RWE studies.
  • Stay updated on methodological advancements in real-world studies, oncology guidelines, and ongoing clinical trials. Demonstrate proficiency in various types of RWD and their suitability for analysis, distinguishing between retrospective RWD, clinical trials, and other prospective observational study designs, and articulating their advantages and limitations.
  • Ensure compliance with all relevant regulations and company procedures.

Required Experience:

  • 1+ years of post-grad experience in epidemiology, biostatistics, real-world data science, clinical informatics, public health, or related fields.
  • 1+ post-grad experience with time-to-event analysis and methodology
  • Computational skills using R and SQL, especially relevant statistical tools and packages

Ideal candidates will possess:

  • Prior involvement in oncology Phase II-IV clinical trials or proven expertise in analyzing RWD studies, including utilization of claims, EHR, or registry data.
  • Demonstrated experience interfacing with clients or in a consulting capacity, showcasing adeptness in presenting results to stakeholders.
  • Proficiency in navigating large, complex problems within a fast-paced environment.
  • Meticulous attention to detail coupled with a commitment to delivering analytics of the highest quality and punctuality.
  • A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.

Nice to have:

  • Direct involvement in assisting with the preparation of regulatory submissions to the FDA.
  • Proficiency in machine learning techniques, with a nuanced understanding of the strengths and limitations of various approaches, particularly regarding predictive and prognostic algorithms in medical research.
  • Familiarity with cancer genetics, immunology, or molecular biology.

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We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.