Evidation Health is a new kind of health and measurement company that provides the technology and guidance to understand how everyday behavior and health interact. The volumes of behavior data generated from wearables and smartphones has opened up new ways to analyze individuals’ behavior and health in real time. With a virtual pool of 3 million research participants, Evidation Health undertakes research for innovative biopharma and health care companies to transform how diseases are identified, treated, and monitored.

Evidation Health is seeking a motivated candidate who is passionate about defining value within digital health as a member of an agile, entrepreneurial team. As a Lead Biostatistician/Epidemiologist, you will be responsible for statistical design and analysis of technology-based clinical trials as well as other digital health outcomes studies. You will be responsible for managing Biostatisticians and Epidemiologists who will serve as analytics leads for their assigned studies, and you will also serve as the lead yourself for some studies. You will be involved in projects across the portfolio at various stages of planning and analysis, and you will collaborate closely with study design leads and data scientists. You and your team will primarily be responsible for providing biostatistical and/or epidemiological expertise for the design and execution of digital clinical studies and participating in internal and client research efforts that benefit from biostatistics and/or epidemiology expertise.

This role is based in San Mateo, CA. Some travel may be required to attend client meetings and conferences.


  •  Recruit, manage, and develop a team of Biostatisticians/Epidemiologists, including task
    management and oversight, professional development and mentorship, and the fostering of a
    positive working environment that empowers team members to grow and contribute
  • Lead the research team responsible for the following activities for a diverse portfolio of studies
    (prospective interventional and observational, and retrospective):
    • Collaborating with study design team and determining the appropriateness of proposed
      study designs for clinical and digital research studies
    • Developing the statistical methods sections of study protocols and statistical analysis
      plans (SAPs) for randomized controlled trials and prospective and retrospective
      observational studies
    • Reviewing case report forms (CRFs) to determine that variables of interest are
      appropriately measured to accomplish the objectives described in study protocols
    • Conducting sample size/powering calculations for both client and internal proposals
    • Performing data analysis including statistical programming, creation of tables and figures,
      interpretation of results, and readout to internal and external stakeholders
    • Collaborating with data science team to align analytic approaches to meet study
    • Co-authoring and preparing abstracts, posters, and presentations for conferences, and
      manuscripts for publication in peer-reviewed medical journals
  • Own and be accountable for the robustness of health outcomes-related analytics across the
  • Identify areas for improvement and advocate cross-functionally and with company leadership for
    well-reasoned action plans and strategies to improve internal processes around study design and
    analysis processes
  • Define team goals and work with direct reports on strategies for executing, measuring progress,
    and sharing results


  • MS, MPH, or PhD in epidemiology, biostatistics, health services research, medical statistics,
    health economics, or a related discipline is required
    • Training in how to design primary research is required
  • 3-5+ years work experience in healthcare-related area
  • Proficient in a statistical software program (R, Stata, or SAS), experience with Python is a plus
  • Demonstrated experience in conducting analyses of Real World Data (eg, medical/pharmacy billing claims or electronic health records) and patient reported outcomes is preferred
  • Familiarity with machine learning methods and prediction modeling is a plus
  • Strong ability to communicate ideas in oral and written form clearly and concisely to varied
  • Demonstrated writing ability for medical journal publications
  • Strong project management, organizational, and interpersonal communication skills
  • Excellent attention to detail
  • Efficient multi-tasker able to juggle multiple projects simultaneously
  • Versatile team player with affinity for collaborative environment
  • Start-up and biopharma experience preferred


  • Health, dental, and vision benefits for you and competitive coverage for your family
  • Equity
  • Flexible work hours
  • Open vacation policy - take time when you need it
  • Support for remote work when needed
  • Relaxed work environment
  • Your choice of computing equipment and gear
  • Lots of opportunities for growth
  • Opportunity to work on fascinating challenges that improve people’s lives

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