School of Medicine:
Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.
Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
Conduct independent research activities under the guidance of a faculty/mentor in preparation for a full time academic or research career.
Postdoctoral p ositions in computational biology are available in the laboratory of Dr. Jason Locasale. We (jlocasale.duke.edu) area group of young, energetic, and highly collaborative scientists consisting of biologists, computati onal biologists, and physical scientists. Under the direction of Dr. Lo casale, the postdoctoral fellow will be responsible primarily for conduc ting research.
Projects in sever al areas are available including: 1.)Understanding the influence of meta bolism on chromatin biology 2.)Computational modeling of metabolic regul ation 3.) Integrating cancer genomics and metabolomics data with biologi cal validation for precision anti-metabolite therapy 4.) Developing and applying tools for metabolomics and flux analysis5.) Quantitative biolog yof human nutrition and diet.
We are interested in developing and applying integrative computationa l approaches to understand metabolism in health and disease. Example da ta include but are not limited to genomics, metabolomics, and epigenomic s.
Example additional re sponsibilities: •Supervising a research technician, medical students, and undergraduates in the lab • Develop and apply computatio nal methods and models of metabolism • Conduct genomics computations and machine learning on integrated genomics data • Help prepare grants, ma nage project collaborations, draft scientific manuscripts •Required: Ph. D. in engineering, chemistry, physics,computer science, computational b iology or related fields • Preferred: Excellent proven publication track record. • Excellent written and oral communication skills. •Ability to work collaboratively with others.
Knowledge, Skills a nd Abilities
See job description for requirements.
See job description for education requirements.
See job description for requirements.
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