"Postdoctoral Associate in Genomics"

Posting Information

Work Arrangement:

Requisition Number: 265879

Regular or Temporary: Regular

Location: Durham, NC, US, 27710

Personnel Area: Medical Center

Date: Jan 30, 2026

Duke University 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 2,500 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
• Multiple affiliations

Job Title

Post-Doctoral Associate

Position Summary

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).

Key Responsibilities

• 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

The degree must be completed by the start date.

Skills

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

Appointment Details

• Full-time
• 12-month position
• Possibility of renewal