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.

Job Description

The primary duties for this position are related to implementing and benchmarking computational tools to predict binding sites of transcription factors in the human genome.

Job duties include:

• mining the scientific literature for existing transcription factor binding site calls, which will be used in comparisons to the calls performed by the newly implemented tools;
• mining the literature for high-throughput binding data (such as ChIP-seq and DNase footprinting) that can be used for benchmarking;
• processing and analyzing high-throughput genomics data;
• efficient implementation of algorithms previously developed in the Gordan laboratory to predict transcription factor binding sites, and using these algorithms to predict sites in the human genome;
• preparing the results for publication.

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