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Job

Postdoctoral Fellowship – Computational Regulatory Genomics

About the position

Embark on a transformative journey with Dr. Ivan Ovcharenko's research team at the Computational Biology Branch, Intramural Research Program, National Library of Medicine, nestled within the vibrant National Institutes of Health (NIH) campus in Bethesda, Maryland (https://www.ncbi.nlm.nih.gov/CBBresearch/Ovcharenko/). We're seeking a talented individual to fill a postdoctoral position starting June 2024. Our mission is to decode the intricacies of gene regulation through advanced computational analyses, with a keen focus on epigenetic and sequence-based mechanisms. At the forefront of innovation, we pioneer computational approaches to predict disease-causal regulatory mutations and decipher their mechanisms of action. As part of our dynamic team, you'll harness cutting-edge AI models and engage in comprehensive experimental enhancer characterization to unveil tissue-specific regulatory signals and precisely gauge the impact of mutations on regulatory element activity.

Apply for this vacancy

What you'll need to apply

This fellowship is available to U.S. citizens, permanent residents, and foreign nationals who either require work authorization sponsorship or possess a work authorization permitting them to legally work in the United States. This full-time fellowship position offers a competitive salary commensurate with experience and qualifications, along with comprehensive health benefits. Interested candidates should submit their curriculum vitae, a detailed statement of research interests, and the names and contact information for three references to Ivan Ovcharenko, PhD at ovcharen@nih.gov.

Contact name

Ivan Ovcharenko, PhD

Contact email

ovcharen@nih.gov

Qualifications

We're in search of a highly motivated individual with a doctoral degree in Computational Biology, Machine Learning, Population Genetics, or related fields, boasting less than five years of postdoctoral experience. If you possess advanced programming skills and expertise in AI model development, we invite you to apply. If you're driven to push the boundaries of computational biology and contribute to groundbreaking research, seize this opportunity.

Disclaimer/Fine Print

The NIH is dedicated to building a diverse community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.