Post-Doctoral Associate

Rutgers University; Piscataway Township (NJ); On-site; USD 58,000 - 70,000; Full time

Benefits offered by this job

Medical, prescription drug, and dental

Paid vacation and leave programs

Competitive retirement benefits

Job summary

Rutgers University invites applications for a full-time post-doctoral position in the Department of Statistics. The successful candidate will work on causal inference and statistical learning with high-dimensional observational data, developing methods and collaborating with researchers in health outcomes and aging research.

Qualifications include a doctoral degree in statistics, computer science, or related field, and strong programming skills.

Qualifications

• PhD in statistics, computer science, or related field.
• Expertise in causal inference and machine learning, including reinforcement learning.
• Strong programming experience and excellent communication/writing skills.

Responsibilities

• Conduct causal inference and statistical learning research on high‑dimensional observational data.
• Develop statistical and computational methods for applications in comparative effectiveness research.
• Collaborate with Rutgers Institute for Health, Health Care Policy and Aging Research.

Skills

Causal inference

Machine learning

Reinforcement learning

Programming

Education

Doctoral degree

Job description

Salary Details The minimum salary for this position is of $63968

Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits

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, 2026, 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.
Located in New Jersey, Rutgers University is a premiere, Research 1, public land grant institution that reflects the broad spectrum of backgrounds in the state. The School of Arts and Sciences, the largest and most comprehensive school at Rutgers University, is especially interested in candidates who can advance the goals and values expressed in the SAS Strategic Plan . Applicants are encouraged to include in their cover letter information about how they will further our mission of excellence.

Applicants must have a doctoral degree in statistics, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired. Excellent communication and writing skills are needed.

Position Status

Position Status Full Time

Posting Number

Posting Number 25FA1113

Posting Open Date

Posting Open Date 11/06/2025

Posting Close Date

Qualifications

Minimum Education and Experience

Applicants must have a doctoral degree in statistics, computer science, or a related field.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements