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Duke University

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Postdoctoral Associate in AI, Agentic Systems, and Computational Immunology at Duke University Duke University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Associate position at Duke University; NIH/NIAID-funded MISM Center project. Duke mentions competitive benefits including health insurance, paid time off, retirement contributions, and tuition assistance, but no stipend or salary amount is stated.

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Country

United States

University

Duke University

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Biology
Artificial Intelligence
Computational Biology
Software Engineering
Cloud Computing
Python Programming
Medical Science
Bioinformatic
Large Language Models

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About this position

Duke University is advertising a Postdoctoral Associate position in the Department of Surgery at the Duke University School of Medicine in Durham, North Carolina, United States.

The role is part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center and focuses on applying AI, agentic systems, software engineering, and computational immunology to research workflows. The postdoctoral associate will help develop AI agents that extract and generate metadata for computational models from code repositories, research papers, theses, model websites, and other linked sources; map metadata to ontologies and Common Data Elements; create containerized executable versions of models; and contribute to a cloud-based model and data sharing portal.

This opportunity is especially relevant for candidates with interests in Computer Science, Artificial Intelligence, Biomedical Informatics, Computational Biology, Bioinformatics, Biomedical Ontologies, Biomedical Knowledge Graphs, and Cloud Computing. The postdoc will work closely with graduate students, postdocs, software engineers, faculty, and senior researchers from Duke University and UNC Chapel Hill, and will participate in meetings, workshops, trainings, conference presentations, code reviews, and scientific writing.

Minimum requirement: a Ph.D. or equivalent doctorate (such as Sc.D., M.D., or D.V.M.). Preferred preparation includes a PhD in Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science, or a related field; experience with Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, or Biomedical Informatics; programming in Python or R; cloud experience (for example Microsoft Azure); grant and publication writing; strong communication and problem-solving skills; and Unix/git experience.

The position is onsite. Duke notes competitive employee benefits, including health insurance, paid time off, retirement contributions, and tuition assistance. Applications are reviewed on a rolling basis and the position remains open until filled.

Funding details

Postdoctoral Associate position at Duke University; NIH/NIAID-funded MISM Center project. Duke mentions competitive benefits including health insurance, paid time off, retirement contributions, and tuition assistance, but no stipend or salary amount is stated.

What's required

Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) is required. Preferred background includes a PhD in Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science, or a related field. Applicants should have experience in Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, or Biomedical Informatics; programming experience in Python or R; experience in a cloud environment such as Microsoft Azure; experience writing grant proposals and scientific publications; strong communication, interpersonal, and problem-solving skills; and working knowledge of Unix-based operating systems and git version control.

How to apply

Apply through the Duke careers portal using the provided job link. Screening continues until the position is filled. Prepare application materials that demonstrate the required doctorate, relevant AI/computational biology experience, and software/cloud skills.

More information can be found here

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