Postdoctoral Associate

Work Arrangement:  On-Site
Requisition Number:  276011
Regular or Temporary:  Regular
Location: 

Durham, NC, US, 27710

Personnel Area:  MEDICAL CENTER
Date:  Oct 12, 2026
School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Be You.

The Department of Surgery at Duke University is seeking a qualified Postdoctoral Associate to contribute to AIM-PrEP, an NIH-funded project advancing artificial-intelligence methods for HIV prevention and clinical decision support.

 

 

Minimum Requirements:

Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.)

Preferred Qualifications:.

  • PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field.
  • Experience in at least one of the following fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field.
  • Programming experience in a language such as Python or R.
  • Experience working in a cloud environment such as Microsoft Azure.
  • Experience in writing grant proposals and scientific publications.
  • Strong communication, interpersonal, and problem-solving skills.

 

Other Requirements:

This position is onsite. The work is performed on-site or at a designated assignment location.

Be Bold.

The successful candidate will co-mentored by Dr. David Carlson and Dr. Nrupen Bhavsar as part of a multidisciplinary research team developing and evaluating AI-enabled approaches to identify women who may benefit from HIV pre-exposure prophylaxis (PrEP). The work brings together electronic health record data, clinical documentation, and neighborhood-level contextual information to improve prediction, interpretation, and implementation of HIV-risk assessment in clinical settings.

 

The postdoctoral associate will contribute to methodological development and applied research in machine learning, statistical modeling, natural-language processing, epidemiology, and clinical informatics. The position offers opportunities to work with complex real-world health data, collaborate with clinicians and community-engagement partners, and help translate rigorous computational methods into actionable care tools.

 

The initial appointment is for one year and is renewable, contingent on performance and funding.

 

Required qualifications include a PhD in computer science, statistics, biostatistics, epidemiology, biomedical informatics, engineering, applied mathematics, computational biology, or a related quantitative field by the start date. Candidates should have a strong research record, excellent programming and analytical skills, and be able to communicate complex concepts to technical and non-technical collaborators. 

 

We especially welcome applicants with experience or interest in machine learning, statistical modeling, natural-language processing, clinical or population-health data, reproducible research, and interdisciplinary collaboration. Familiarity with HIV prevention, contextual drivers of health, implementation science, or spatial and longitudinal data is beneficial but not required.

 

Choose Duke.

Join our award-winning team and be part of an inclusive culture that is committed to providing outstanding patient care, training tomorrow’s leaders, and conducting innovative research. You'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.

To apply, please submit a cover letter describing relevant interests and experience, a curriculum vitae, a representative research paper or preprint, and contact information for three references. Review of applications will begin immediately and continue until the position is filled.



Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.



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Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.



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