Jack Taylor

Epidemiology PhD Candidate

San Francisco, California, United States

About

Experience

  • Real-World Evidence Consultant at Independent Consultant
    Oct 2025 - Present · 10 mos

    Consulting with Bristol Myers Squibb Patient Safety on real-world evidence study design, protocol development, and data strategy. • Advise Patient Safety stakeholders on selecting real-world data vendors by evaluating study feasibility, data quality, and fitness for purpose. • Lead development of RWE study protocols and statistical analysis plans supporting oncology patient safety research. • Construct and validate patient cohorts using standardized clinical terminologies. • Coordinate with epidemiologists and external data partners to support observational research using large-scale EHR data.

  • University of California, San Francisco (11 yrs)
    • Clinical Research Associate
      Sep 2022 - Present · 3 yrs 11 mos

      Dementia Care Research - implementation outcomes, patient/participant experience, technology implementation, study design, quantitative and qualitative statistical analysis, mixed methods research, patient/participant experience, demography/social epidemiology

    • PHD Student
      Sep 2022 - Present · 3 yrs 11 mos

      Epidemiology and Translational Science PhD Student conducting clinical research in dementia care and monitoring with a focus on econometric, ML, and causal inference methods.

    • Clinical Research Coordinator
      Mar 2020 - Sep 2022 · 2 yrs 7 mos

      Frontotemporal Dementia Research - Smartphone-based cognitive measures, remote enrollment, bring-your-own device, at-home/self-administered testing. Conducted study consent, study design, developed study standard operative procedures, conducted pilot study investigation, oversaw national implementation across 18 sites, work closely with industry partners, peer-reviewed manuscript of feasibility and acceptability

  • EHR Integration Consultant at Frontotemporal Dementia Disorders Registry
    Jul 2024 - Oct 2024 · 4 mos

    • Evaluated electronic health record (EHR) data shared through 1upHealth to characterize data structure, completeness, and longitudinal utility for research. • Assessed data quality and identified limitations affecting real-world evidence applications and future study design. • Interpreted and communicated dataset capabilities to registry leadership and IQVIA, informing data strategy, external partnerships, and future research initiatives. • Generated analytical reports from EHR data to support grant submissions and expansion of the registry's real-world data capabilities.