Consulting Biostatistician

Core Function

Independent methodological review of a Bayesian hierarchical / machine‑learning predictive modeling pipeline; potential contribution to peer‑reviewed publication of the work.

Education

Doctorate (Ph.D. or equivalent) in biostatistics, statistics, quantitative epidemiology, or a closely related field with demonstrated Bayesian modeling experience.

Hours

Approximately 10–20 hours per month on a defined‑deliverable basis, with the option to scale hours depending on project need.

Availability

Occasional 1‑hour meetings between 9 AM – 5 PM ET (onboarding, periodic client meetings); internal deadlines agreed with the Principal at tasking.

Compensation

Hourly rate commensurate with senior doctoral‑level consulting experience; billed monthly on hours worked.

Tools

• Proficient in R and at least one Bayesian modeling framework (e.g., Stan, brms, INLA, NIMBLE, JAGS).
• Code and data hosted in Azure / Azure Databricks; onboarding provided.
• Use of Claude Code for code review is encouraged.

Data Access

Must currently hold, or be able to obtain, CITI Human Subjects Research certification before restricted data access is granted.

Equal Opportunity Statement

This independent contractor opportunity is open to all qualified individuals. We welcome and encourage participation from people of all backgrounds and do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.