Research Statistician
Support research analysis and experiment design through statistical consultation, computational pipelines, predictive modeling, and collaboration on regulatory requirements. This is a volunteer, unpaid opportunity; any future compensated appointment is contingent on funding, approval, legal review,
Responsibilities
- Advise on experimental design and statistical methods.
- Write data-analysis scripts using SAS, R, or Python.
- Develop experimental protocols and sampling strategies.
- Run predictive models and statistical analyses.
- Collaborate with regulatory affairs to help ensure analyses meet regulatory requirements and maintain expertise in computing tools.
Requirements
- Master’s or doctoral degree in statistics, biostatistics, or a related field.
- Proficiency in statistical software and programming.