POSTDOCTORAL SCHOLAR

This Position is Grant Funded

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.

Be You.

Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology, genomics, computer science, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial intelligence approaches to large-scale genomic, single-cell, and multi-omics datasets. This is a computational-only position; no wet lab responsibilities are expected.

Be Bold.

Responsibilities:

• Use applied computational methods for the analysis of genomic, single-cell, and/or other high-dimensional biological datasets.
• Integrate multi-omics data (e.g., genomics, transcriptomics, proteomics) to identify novel biological insights relevant to human disease.
• Employ AI and machine learning approaches for predictive modeling, clustering, and feature discovery.
• Collaborate with experimental and clinical scientists to design, interpret, and translate computational findings.
• Prepare manuscripts, present findings at national and international conferences, and contribute to grant applications.
• Mentor graduate students, medical trainees, or junior team members in computational approaches.

Qualifications:

• PhD in computational biology, genetics/genomics, computer science, bioinformatics, statistics, or a related quantitative field.
• Strong programming skills in languages such as Python and/or R; experience with high-performance computing environments is a plus.
• Demonstrated expertise in one or more of the following areas: machine learning/AI, single-cell analysis, statistical genomics, or multi-omics integration.
• Strong publication record in relevant fields.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a multidisciplinary team environment.
• Familiarity with large biobank or population genomics datasets (optional).

Environment and Opportunities:
The Postdoctoral Fellow will join a vibrant interdisciplinary research environment with opportunities for collaboration across computational, clinical, and translational research groups. The laboratory is a robust, multi-disciplinary academic translational research laboratory composed of PhD computational staff scientists and trainees focused on understanding biomarkers and biology of cardiovascular disease. The postdoctoral fellow will be co-mentored by mentors with expertise in clinical cardiology, data science, biostatistics, human genetics and clinical and translational research. This position offers excellent opportunities for career development, leadership in high-impact projects, and preparation for an independent research career in academia or industry.

Choose Duke.

Join our award-winning team and be part of an inclusive culture that values excellence, innovation, and discovery. Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.