Post-Doctoral Associate
Rutgers University
About the Role
Rutgers University, Department of Statistics is seeking a full-time Post-Doctoral Associate. This position involves working in the areas of causal inference and statistical learning with high-dimensional observational data. Activities include the 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.
Position Details
- Start Date: As early as December 1, 2026, with flexibility.
- Status: Full Time
- Location: Rutgers University-New Brunswick, Busch Campus, Piscataway, NJ.
Salary Details
- Minimum Salary: $63,968
- Final salary offer will be determined by candidate's qualifications, experience, expertise, fund availability, market benchmarks, and internal equity.
Key Responsibilities
- Develop statistical and computational methods in causal inference and statistical learning.
- Apply methods to high-dimensional observational data.
- Conduct research in comparative effectiveness research.
- Collaborate with the Rutgers Institute for Health, Health Care Policy and Aging Research.
Requirements & Tech Stack
- Doctoral degree in statistics, computer science, or a related field.
- Expertise in causal inference.
- Expertise in machine learning, in particular reinforcement learning.
- Strong experience with programming.
- Excellent communication and writing skills.
Qualifications
- Doctoral degree in statistics, computer science, or a related field.
- Desired: Expertise in causal inference and machine learning (reinforcement learning).
- Desired: Strong programming experience.
- Required: Excellent communication and writing skills.
Benefits
Rutgers offers a comprehensive benefits package, which may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits
- Employee and dependent educational benefits
- Life insurance coverage
- Employee discounts programs
Applicant Documents
- Resume/CV
- List of Professional References (contact Info)