Duke University

Postdoctoral Associate

Duke University  •  Durham, NC (Onsite)  •  4 hours ago
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Job Description

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.

Job Title: Post-Doctoral Associate


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. William Majoros’ team to design and deploy new methods on large-scale datasets (e.g., NIH-funded and consortia resources). You will:

Key Responsibilities:

  • Lead and co-lead projects in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI).
  • Apply methods to single-cell multi-omics and epigenomic data in applications focused on gene regulation and noncoding variant interpretation.
  • Publish in top venues, present at major conferences, and contribute to development of 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 Ph.D. (or equivalent) in Computer Science, Biostatistics/Statistics, Mathematics, or a related field by the start date.

Skills:

We welcome candidates grounded in one or more of the following:

  • Mathematical statistics or physics
  • Generative AI/transformers, agentic AI, deep learning
  • Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series
  • Strong programming in R and Python; best practices in reproducible research
  • Excellent communication, independence, and collaboration skills

Appointment Details:

  • Full-time, 12-month position with possibility of renewal.

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.



Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:

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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