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19 часов назад

Biostatistician (Digital Health)

169 600 - 254 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US/India/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Biostatistician (Digital Health): Designing and executing rigorous observational, clinical, and product impact studies for digital musculoskeletal care with an accent on real-world evidence, longitudinal data, and reproducible statistical workflows. Focus on building analysis pipelines, applying causal inference and survival analysis methods, and translating complex results into clinical and business decisions.

Location: San Francisco, United States; hybrid with office attendance required 3 days per week

Salary: $169,600–$254,400 annual salary, plus equity and benefits

Company

hirify.global provides AI-powered, human-centered digital care for musculoskeletal conditions, serving members through health plans, PBMs, employers, and other healthcare partners.

What you will do

  • Design statistical analysis plans for observational studies, clinical evaluations, and product impact analyses.
  • Implement and validate reproducible analysis workflows in R, Python, or SAS.
  • Lead end-to-end analyses of complex longitudinal and real-world healthcare datasets.
  • Define metrics, hypotheses, and success criteria connected to clinical and business decisions.
  • Advise clinical, research, product, and data stakeholders on study design, methods, and interpretation.
  • Support manuscripts, conference abstracts, presentations, and evidence-generation initiatives.

Requirements

  • MS or PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field.
  • 2+ years of applied experience with observational, clinical, or product impact studies, ideally using real-world or healthcare data.
  • Proficiency in at least one of R, Python, or SAS.
  • Experience in regulated healthcare, clinical research, or digital health environments.
  • Ability to communicate statistical findings to technical and non-technical audiences.
  • Knowledge of data quality, metric definition, analytical validation, and reproducible research practices.

Nice to have

  • Experience with causal inference, survival analysis, mixed-effects models, or Bayesian methods.
  • Experience supporting peer-reviewed publications, conference abstracts, or regulatory submissions.

Culture & Benefits

  • Cross-functional collaboration across clinical, research, product, and data teams.
  • Medical, dental, and vision coverage for employees and family members.
  • Support for gender-affirming care, family and fertility planning, and healthcare travel reimbursements.
  • Traditional or Roth 401(k) options with a 2% company match.
  • Learning and development support plus discounted company stock through an ESPP.

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