Postdoctoral Associate

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. This postdoctoral research position focuses on applying AI, agentic systems, and software engineering to computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings, conference and code reviews; prepare and give presentations on results of the research at conferences; lead and participate in drafting scientific papers reporting results of the research for publication in scientific journals; perform other duties as requested or required to support the work of the research project.

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.
• Working knowledge of Unix based operating systems and git version control.

Other Requirements: