We are seeking a motivated data analyst to join the Center for Precision Psychiatry (CPP) at Massachusetts General Hospital (MGH). The ideal candidate will have advanced knowledge of statistical methods, strong programming skills in R and Python, and an interest in deriving insights from complex data to answer clinically relevant questions in psychiatry. The candidate will work closely with CPP PIs to conduct analyses and build reproducible analytic pipelines for a variety of scientific projects focused on predicting psychiatric resilience and risk and gene-environment influences on mental health using advanced statistical and machine learning methods. The candidate will have the opportunity to work with a wealth of large-scale datasets in adults and young people including electronic health records, genomics, and longitudinal survey cohort databases (demonstrated prior experience with such databases will be favored) and to contribute to peer-reviewed publications. The candidate will interact closely with a rich learning environment of CPP faculty, trainees, and staff as well as collaborators at MGH and Harvard. Collaborates with team members to assist in collecting, analyzing, and interpreting data sets.
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Job Type
Full-time
Career Level
Entry Level