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Duke University – Post-Doctoral Associate
Company NameDuke University
Position TitlePost-Doctoral Associate
Company Information
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 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
Duties and Responsibilities
The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist in Dr. Wenpin Hou’s team to design and deploy new methods on large-scale datasets (e.g., NIH-funded and consortia resources). Dr. Wenpin Hou’s group (https://winnie09.github.io/Wenpin_Hou/) develops cutting-edge AI and statistical methods for genomics and biomedical data science, with emphases on single-cell and spatial omics, epigenomics, and biomedical imaging. We aim to advancing the understanding of gene regulation, cellular mechanisms, and human health. Dr. Hou’s group has access to multiple high-performance computing (H200 GPUs) and shared access to many other GPUs.
You will:
* Lead and co-lead projects in AI for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series).
* Analyze single-cell/spatial multi-omics and epigenomic data in applications spanning development, cancer, neurodegeneration, and immunology.
* Publish in top venues, present at major conferences, and contribute to open-source software.
* Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership.
* Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date.
Position Qualifications
We welcome candidates grounded in one or more of the following:
* Generative AI/transformers, agentic AI, deep learning
* Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series
* Strong programming in R and/or Python; best practices in reproducible research
* Excellent communication, independence, and collaboration skills
Benefits
The compensation is competitive and commensurate with experience. Benefits will align with postdoctoral policies at the institute.
Position or Company Websiteduke.edu
Application Instructions
Please apply through Duke Career at https://careers.duke.edu/job/Durham-POSTDOCTORAL-ASSOCIATE-NC-27710/1360702800/. You can also email the following materials directory to Dr. Wenpin Hou at wenpin.hou@duke.edu with the subject line “Postdoc Application” for a quick chat: (a) Cover letter describing research interests, fit, and relevant experience; (b) CV; and (c) Contact information for three references.