Postdoctoral Scholar - Research Associate

Updated: 13 days ago
Location: Los Angeles, CALIFORNIA
Deadline: The position may have been removed or expired!

The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one of the world’s best degree and research programs in gerontology. The USC Leonard Davis School of Gerontology has an international reputation as a hub of aging research and with additional strong programs throughout the university, leads the way in defining and advancing the field of gerontology: https://gero.usc.edu

The Irimia Laboratory leverages neuroimaging, neurogenomics, and deep learning to study the aging brain in health and disease, particularly in neurodegenerative conditions like Alzheimer’s disease (AD). Our researchers integrate brain mapping techniques with machine intelligence and computational biology approaches to investigate how brain alterations contribute to neurocognitive deficits seen in AD.

We are seeking a postdoctoral scholar to join our research efforts to understand how genetic factors drive brain structure changes seen in Alzheimer’s disease. The successful candidate will contribute to ongoing computational studies of brain aging and pursue innovative research projects. The scholar will work with structural neuroimaging methods to integrate their analysis with neurogenomics and with deep learning models to reveal novel genetic and neuroanatomic risk factors for Alzheimer’s disease.

Preferred Qualifications:

  • Ph.D. in neuroscience, computational biology, computer science, engineering, biophysics, applied mathematics, or related field.

  • Computer programming expertise (e.g., Python, Matlab, or TensorFlow) is required.

  • Strong interest in neurodegenerative diseases, neurogenomics, or neuroimaging.

  • Previous experience with neuroimage analysis. 

This is an exempt position with work expected to be primarily in person and at the University Park Campus. Benefits include a competitive salary, and a rich array of USC benefits including healthcare (including dental and vision), 403(b), tuition reimbursement, national holidays, and more.

This position is funded by a research contract/grant  and may be funded by a subsequent contract/grant . Accordingly, your position is contingent upon receipt of the necessary funding from this or any subsequent contract/grant  to continue employment.

The annual base salary range for this position is $64,480 - $66,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the  Los Angeles Fair Chance Initiative for Hiring  ordinance . We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at  [email protected] .  Inquiries will be treated as confidential to the extent permitted by law.


Minimum Education: Ph.D. or equivalent doctorate within previous five years Minimum Experience: 0-1 year Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.

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