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Hinge Health

Runs virtual care for joint and muscle pain

Biostatistician - Quantitative Epidemiology

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A Master of Science or PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field is required.
  • For PhD candidates, at least 2 years of applied experience designing and analyzing observational, clinical, or product impact studies is required; for master's candidates, at least 6 years is required.
  • Experience with observational, clinical, or product impact studies, ideally using real-world data such as administrative claims or clinical data, is required.
  • Proficiency in at least one major statistical programming language: R, Python, or SAS.
  • Demonstrated ability to communicate findings to technical and non-technical audiences.
  • Ability to design studies, conduct statistical modeling, and interpret results.
  • Ability to produce rigorous applied analyses focused on real-world impact.
  • Ability to translate complex statistical results into meaningful recommendations for technical and non-technical stakeholders.
  • Strong judgment and accountability for analysis quality.

Responsibilities

  • Design statistical analysis plans for observational and interventional studies, clinical evaluations, and product impact analyses in collaboration with clinical, product, and data partners.
  • Implement and validate core analysis workflows in R, Python, or SQL for in-flight studies, ensuring methods are appropriate and reproducible.
  • Build cross-functional relationships with clinical, research, and product stakeholders to understand their goals and data sources.
  • Lead end-to-end analyses of complex longitudinal and real-world datasets, from study design and data preparation through modeling and interpretation.
  • Define and refine metrics, hypotheses, and success criteria that connect statistical rigor to business and clinical decisions.
  • Establish and document reproducible analysis pipelines to improve analytical quality, transparency, and speed across the team.
  • Advise on study design, method selection, and interpretation for multiple product and clinical initiatives.
  • Support manuscripts, abstracts, and presentations communicating clinical and product outcomes to customers, partners, and the research community.
  • Help improve how the company generates, validates, and communicates evidence.

Desired Qualifications

  • Experience working in regulated healthcare, clinical research, or digital health environments.
  • Familiarity with one or more of causal inference, survival analysis, mixed-effects models, or Bayesian methods.
  • Experience leading and publishing peer-reviewed publications, conference abstracts, or regulatory submissions.
  • Knowledge of data quality best practices, regulatory guidelines such as Good Clinical Practice, metric definition, and analytical validation for production use.
  • Comfort operating in a fast-moving, cross-functional environment with evolving priorities.

About the Company

Hinge Health

Runs virtual care for joint and muscle pain

Hinge Health runs virtual care programs for joint and muscle pain, with employers and health plans buying access for eligible members. Its app combines personalized exercise therapy with licensed physical therapists, health coaches, and orthopedic specialists. Members use phone-based motion tracking for feedback on their exercises and communicate with their care team between sessions. Programs cover chronic pain, acute injuries, and rehabilitation after surgery, while clients pay for member subscriptions through direct contracts or health plan partners. Hinge Health was founded in 2014 and is headquartered in San Francisco, California, United States.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2014

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