Research Assistant Professor

Full Job Description

Research Assistant Professor

Department: SOMC Pharmacology, Physiology, and Neuroscience

Part/Full Time: Full Time

Advertised Salary Range:

About UofSC

From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state.

More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort.

In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning.

All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Advertised Job Summary

The Department of Pharmacology, Physiology & Neuroscience at the University of South Carolina School of Medicine seeks an outstanding candidate for a Research Assistant Professor position to work on brain health and neuroscience-related research projects.

Successful candidates will have the opportunity to join a highly successful, collegial, and collaborative neuroscience-focused department at a Carnegie R1 research university, and preferred candidates are expected to complement department research initiatives focused on neurobiological disorders across the lifespan.

The position is intended to assist the department in leveraging the significant USC investment in the newly established Brain Health Center for delivering exceptional care through clinical innovation and research powered by the latest brain imaging technology, as well as plans for South Carolina’s first comprehensive medical facility dedicated to the integrated care of patients with brain and nervous system illnesses.

Preferred candidates will have at least 12 months of postdoctoral experience or the equivalent by the beginning date of employment and also show evidence of potential for scholarly productivity, potential for success in extramural research funding, potential for excellence in graduate and medical education, and translational research expertise in neuroimaging approaches and/or computational approaches.

Applications should include a cover letter summarizing qualifications, a curriculum vitae, a statement of research plans and professional goals, and contact information for three references

Required Education and Experience

Preferred Qualifications

• Research experience in using in vivo neuroimaging and machine learning techniques to examine changes in patterns of brain structure over the lifespan.

• Experience in statistical and computational analysis of neuroimaging and biomarker data in human datasets is preferred.

• Research interests that focus on individual variability and identifying biomarkers to foster collaborations with departmental focus on neurobiological disorders and brain health across the lifespan.

• Preferred candidates demonstrate evidence of potential for scholarly productivity, potential for success in extramural research funding, potential for excellence in graduate and medical education, and research interests that enhance departmental programs targeting neurobiological disorders.

Knowledge/Skills/Abilities

• Ability to use in vivo neuroimaging and machine learning techniques to examine changes in patterns of brain structure over the lifespan.

• Knowledge and skills in statistical and computational analysis of neuroimaging and biomarker data in human data.

Job Close Date

05/10/2026

Special Instructions to Applicant

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time.

This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors.

Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by May 10, 2026.

To apply, please visit: https://apptrkr.com/7042103

EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.

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