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Duke University

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Postdoctoral Associate in AI-enabled HIV Prevention, Machine Learning, and Clinical Informatics at Duke University Duke University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral associate position at Duke University; initial appointment is for one year and renewable contingent on performance and funding. Duke benefits are mentioned, including health insurance plans, paid time off, retirement contributions, and tuition assistance for employees and their children.

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Country

United States

University

Duke University

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Keywords

Computer Science
Epidemiology
Biomedical Engineering
Information Technology
Biology
Artificial Intelligence
Natural Language Processing
Computational Biology
Hiv Prevention
Medical Science
Clinical Informatics
Salud Pública
Statistics
Statistical Modelling
Bioinformatic
ML

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About this position

Postdoctoral Associate at Duke University in Durham, North Carolina, United States.

This opening is in the Department of Surgery at Duke University and supports AIM-PrEP, an NIH-funded project focused on artificial-intelligence methods for HIV prevention and clinical decision support. The work is highly interdisciplinary and combines machine learning, statistical modeling, natural-language processing, clinical informatics, epidemiology, and real-world health data analysis.

The successful candidate will be co-mentored by Dr. David Carlson and Dr. Nrupen Bhavsar and will work with 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 role is especially relevant for applicants interested in AI-enabled healthcare, biomedical informatics, computational biology, bioinformatics, and population-health research.

Eligibility highlights: a PhD or equivalent doctorate is required by the start date. Preferred backgrounds include computer science, data science, biomedical informatics, computational biology, information science, statistics, biostatistics, epidemiology, engineering, applied mathematics, or related quantitative fields. Experience with Python or R, cloud computing (e.g. Microsoft Azure), grant writing, and scientific publications is preferred. Familiarity with HIV prevention, implementation science, spatial and longitudinal data, or clinical/population-health data is beneficial.

Funding and appointment: the position is a postdoctoral associate appointment with an initial one-year term, renewable depending on performance and funding. Duke also notes competitive benefits, including health insurance, paid time off, retirement contributions, and tuition assistance for employees and their children.

How to apply: submit a cover letter, CV, representative research paper or preprint, and contact information for three references. Applications are reviewed immediately and accepted until the position is filled.

Funding details

Postdoctoral associate position at Duke University; initial appointment is for one year and renewable contingent on performance and funding. Duke benefits are mentioned, including health insurance plans, paid time off, retirement contributions, and tuition assistance for employees and their children.

What's required

Applicants must have a PhD or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) by the start date. Preferred background includes a PhD in computer science, data science, biomedical informatics, computational biology, information science, statistics, biostatistics, epidemiology, engineering, applied mathematics, or a related field. Desired experience includes agentic AI, large language models, artificial intelligence, biomedical ontologies, biomedical knowledge graphs, computational biology, bioinformatics, Python or R programming, cloud environments such as Microsoft Azure, grant proposal writing, and scientific publications. Strong communication, interpersonal, analytical, and problem-solving skills are required; familiarity with HIV prevention, implementation science, spatial/longitudinal data, or clinical/population-health data is beneficial.

How to apply

Submit a cover letter describing relevant interests and experience, a curriculum vitae, a representative research paper or preprint, and contact information for three references. Apply through the Duke careers portal using the provided job link; review begins immediately and continues until filled.

More information can be found here

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