Job description

Princeton Precision Health (PPH) (https://pph.princeton.edu) is a cross-cutting initiative that uses data science to transform human health at all levels: from molecular to social to environmental, with the goal of enacting smart policy and evidence-based clinical practice. We are an interdisciplinary team of researchers from a wide variety of fields, including computer science, psychology, public policy, and clinical practice, collaborating to solve complex problems and reduce bias in human health, policy, and medicine. The Princeton Precision Health (PPH) Initiative seeks applicants for postdoctoral or more senior research positions to work closely across disciplines with biomedical researchers, social scientists, and computational and data scientists to develop and apply novel, data-driven, equitable approaches to public health. The researchers will report to Professor Olga Troyanskaya, the Director of PPH, and will have the opportunity to work with multiple groups participating in PPH. Appointments are for one year, with possibility for renewal pending satisfactory performance and continued funding. These positions are subject to the University's background check policy. Applications must be submitted online at https://www.princeton.edu/acad-positions/position/29781, and should include a cover letter, curriculum vitae that includes a list of publications, a brief statement (3 pages) of research interests and goals and the names and contact information for three references. Essential Qualifications: Ph.D., M.D., or equivalent is required. Applicants should have training and a significant track record in one or more of the following areas: - Biomedical research - Computational biology - Computational genomics - Computer science - Data analysis - Data science - Diabetes - Ethics - Genomics - Immune system disorders - Inflammation - Kidney disease - Machine learning - Neurodegeneration - Neurodevelopment - Psychology - Public policy Additional research areas related to the initiatives at PPH will also be considered.

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