Research Technician

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, and multiple affiliations.

Be You. Be Bold. Choose Duke.

Be You.

At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Research Technician I, you’ll be a vital part of a collaborative, interdisciplinary team that supports students and researchers from diverse backgrounds as they pursue data‑driven scientific discovery.

Be Bold.

• Conduct biological data collection, bioinformatics workflows, and single‑cell data analyses.
• Compile, analyze, and document procedures, results, and preliminary conclusions from genomic datasets.
• Collaborate with the principal investigator to shape research plans and analysis strategies.
• Modify existing lab or computational techniques to support evolving research needs.
• Review scientific literature to inform experimental and data analysis approaches.
• Use and maintain high‑performance computing environments and laboratory databases.
• Train new or junior personnel in data collection and analysis procedures.
• Support preparation of research presentations and publications.
• Maintain databases and contribute to high‑quality data stewardship.

• Bachelor’s or Master’s degree in biology, engineering, bioinformatics, or a related quantitative scientific field.
• Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R.
• Interest in machine learning, cancer genomics, and single‑cell technologies.

Choose Duke.

Joining Duke means becoming part of a world‑class research community committed to innovation, collaboration, and transformational science. You’ll contribute to work that expands our understanding of biology at the single‑cell and systems level—impacting the future of data‑driven healthcare and discovery.

Ready to Make a Difference?

Apply now and help us build a stronger, smarter, and more connected future.