Hinge Health
Biostatistician, Quantitative Epidemiology
San Francisco-HQ · Hybrid · Full-time · Posted Aug 25, 2026
- Experience
- PhD and 2+ years OR Master’s and 6+ years of applied experience.
- Education
- MS or PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field.
About the job
Designs and leads statistical studies of Hinge Health’s digital care, using real-world and clinical data to evaluate outcomes, experiences, and costs and inform business and clinical decisions.
What you'll do
- Design analysis plans and conduct end-to-end analyses of observational, interventional, clinical, and product impact studies.
- Build and document reproducible analysis workflows and pipelines, validating methods and data quality.
- Communicate findings to stakeholders and support manuscripts, abstracts, and presentations.
What they ask for
- MS or PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field.
- PhD and 2+ years OR Master’s and 6+ years of applied experience designing and analyzing observational, clinical, or product impact studies.
- Proficiency in at least one major statistical programming language: R, Python, or SAS.
- Ability to communicate findings to technical and non-technical audiences.
Nice to have
- Experience in regulated healthcare, clinical research, or digital health.
- Familiarity with causal inference, survival analysis, mixed-effects models, or Bayesian methods.
Pay
$169.6K – $254.4K (base salary)
Tools
R, Python, SQL, SAS
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