Postdoc: Causal Inference & Innovative Trial Design

Statistics Interest Group; Minneapolis (MN); On-site; USD 65,000 - 75,000; Full time

Job summary

The University of Minnesota, Division of Biostatistics & Health Data Science seeks a Post-Doctoral Associate to work with leaders in causal inference and clinical trial design. The appointment is 1-2 years, renewable, with flexible work arrangements and possible extension.

Responsibilities include theory development, simulations, data analysis, interpretation, presentation, and manuscript preparation; location Minneapolis, on-site with potential remote work options.

Qualifications

• PhD in biostatistics, statistics, or a related discipline.
• Preferred qualifications include prior research in causal inference or innovative trial design and analysis.

Responsibilities

• Theoretical development and methodological work in causal inference.
• Simulation studies to evaluate new methods.
• Data analysis and interpretation of results.
• Presentation of results at seminars and conferences.
• Manuscript preparation for publications.

Skills

Causal inference research

Clinical trial design

Education

PhD in biostatistics or statistics

Job description

The University of Minnesota, Division of Biostatistics & Health Data Science seeks a Post-Doctoral Associate to work with leaders in causal inference and clinical trial design. The appointment is 1-2 years, renewable, with flexible work arrangements and possible extension.

Responsibilities include theory development, simulations, data analysis, interpretation, presentation, and manuscript preparation; location Minneapolis, on-site with potential remote work options.