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. The Heaton Laboratory https://heaton.labs.duke.edu/, a member of the Duke Center for Virology https://sites.duke.edu/dukevirology/, is seeking a highly motivated Bioinformatician II to support multidisciplinary research at the intersection of virology, immunology, cell biology, and exposure biology. Minimum Requirements PhD in Bioinformatics, Computational Biology, or a related field or MS with substantial relevant experience Strong programming skills e.g., R, Python, or equivalent Experience in building, maintaining, and working with databases SQL Experience analyzing genomic data Preferred Qualifications Experience integrating high-dimensional datasets e.g. exposure status, next-generation sequencing, experimental data to identify outcome-associated signatures Experience applying computational and machine learning approaches to biological data Strong communication skills and ability to collaborate in a team-oriented environment Be Bold. About the Position: Design, create, and enhance workflows, databases, front-end interfaces, and other computing tools for tracking, moving, distribution, sharing, integration, and analysis of a variety of multi-omic, phenotypic, clinical and experimental data Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally design therapeutics Identify solutions and investigate and learn new approaches necessary to adapt existing or new workflows Collaborate with teams of researchers and scientists providing bioinformatics training, consulting, application support and development Choose Duke. Work on cutting-edge questions in virology and immunology with direct relevance to therapeutic development and understandings of disease pathology, susceptibility, and transmission Access to rich, multi-modal datasets from state-of-the-art experimental systems and human studie
