19 часов назад
Biostatistician (Digital Health)
169 600 - 254 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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