Post-Doctoral Associate

The Department of Statistics at Rutgers University invites applications for a full-time post-doctoral position, with a start date as early as December 1, 2025, but otherwise flexible. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and applications in comparative effectiveness research through collaboration with the Rutgers Institute for Health, Health Care Policy and Aging Research.

About the role

• Work in the areas of causal inference and statistical learning with high-dimensional observational data
• Development of statistical and computational methods
• Applications in comparative effectiveness research
• Collaboration with the Rutgers Institute for Health, Health Care Policy and Aging Research

Responsibilities

• Contribute to the development of statistical and computational methods
• Collaborate on projects related to comparative effectiveness research
• Develop and apply new methods in high-dimensional observational data analysis

Requirements

• Doctoral degree in statistics, computer science, or a related field
• Expertise in causal inference and machine learning (in particular reinforcement learning)
• Strong experience with programming

Qualifications

• Excellent communication and writing skills

Skills

• Causal inference
• Statistical learning
• High-dimensional observational data analysis
• Reinforcement learning
• Programming

Benefits

• Flexible start date

Pay

• Commensurate with experience

Schedule

• Varies based on project needs

Application Instructions

• N/A