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Non-tenure Track Assistant Research Professor-Kleiman Lab

Job in Piscataway, Middlesex County, New Jersey, 08854, USA
Listing for: Rutgers University
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Data Scientist
Salary/Wage Range or Industry Benchmark: 82110 - 93588 USD Yearly USD 82110.00 93588.00 YEAR
Job Description & How to Apply Below

Salary Details

Salary Details $82, 110 - $93,588

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 provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

  • 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 (when applicable)
  • Life insurance coverage
  • Employee discount programs
Posting Summary

The Department of Psychology at Rutgers University, New Brunswick, is seeking an outstanding candidate for a non-tenure track research faculty position specializing in clinical psychology, with an emphasis on smartphone-based real-time monitoring and statistics. Candidates must have a Ph.D. in Clinical Psychology or a related field by the appointment start date. We will prioritize the recruitment of candidates who demonstrate research excellence in areas of clinical science that complement and/or expand the current research foci of our department, especially candidates who have expertise in smartphone-based real-time monitoring and the analytic techniques related to these data collection methods.

Responsibilities will include developing and maintaining an active research program, including publication of peer-reviewed manuscripts in high-impact journals and presentations at scientific meetings.

* The Assistant Research Professor position is fully grant-funded.

Salary, start-up, and other considerations are consistent with Rutgers ‘commitment to attract exceptional individuals. More information on our program can be found at: (Use the "Apply for this Job" box below)..

Rutgers University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status or any other classification protected by law.

Position Information

Recruitment/Posting

Title:

Non-tenure Track Assistant Research Professor-Kleiman Lab
Department:
Psychology
Salary Details: $82, 110 - $93,588
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.

Benefits:
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

  • 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 (when applicable)
  • Life insurance coverage
  • Employee discount programs
Qualifications

Minimum Education and Experience

The…

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