Staff Scientist/biostatistician - Geisinger Program Evaluation

Geisinger

Danville, Pennsylvania, United States
Fully remote
Causal inference using non-randomized designs
Statistical software (preferably r)
Study design and analysis
Geisinger seeks an outstanding researcher to serve as a Staff Scientist/Biostatistician for the newly created Geisinger Program Evaluation (GPE) team, responsible for conducting rigorous evaluations of potentially high-impact programs

Job Summary

  • Geisinger seeks an outstanding researcher to serve as a Staff Scientist/Biostatistician for the newly created Geisinger Program Evaluation (GPE) team, responsible for conducting rigorous evaluations of potentially high-impact programs.
  • The role involves leading or participating in study design, analysis (preferably using R), and reporting/dissemination of results to internal stakeholders and academic audiences.
  • The ideal candidate will have expertise in biostatistics, epidemiology, health economics, and/or health services research, with strong methodological training in causal inference using non-randomized study designs.

Matching Summary

Geisinger seeks an outstanding researcher to serve as a Staff Scientist/Biostatistician for the newly created Geisinger Program Evaluation (GPE) team, responsible for conducting rigorous evaluations of potentially high-impact programs.

Skills & Requirements

Must-have

  • Causal inference using non-randomized designs
  • Statistical software (preferably R)
  • Study design and analysis
  • Manuscript drafting and submission
  • Data management, analysis, visualization, reporting

Nice-to-have

  • Applied research in healthcare
  • Open science best practices
  • Interdisciplinary research and collaboration
  • Behavioral science methods
  • Health economics and services research

Key Requirements

  • Ph.D. in biostatistics, epidemiology, health economics, public health, or relevant discipline
  • Minimum 3 years' post-graduate experience
  • Scholarly publications
  • Training in advanced, quasi-experimental and observational statistics

Work Rights

Not specified

Tailored Resume

Cover Letter