The mission of the CPP is to integrate research and clinical practice to enable more accurate risk prediction, targeted prevention, precise diagnosis, and effective treatments for psychiatric disorders.
The GRA will design independent research projects and/or participate in ongoing scientific efforts focused on modifiable factors for prevention and gene-environment influences on mental health using advanced statistical and machine learning methods. Depending on the assigned projects, this candidate will have the opportunity to work with a wealth of large-scale datasets including electronic health records, genomics, imaging, and longitudinal survey cohort databases and to contribute to peer-reviewed publications. The candidate will interact closely with a rich learning environment of CPP faculty and trainees, collaborators at MGH and Harvard, as well as international consortia teams. The candidate will be supervised primarily by Dr. Karmel Choi, Director of the Precision Prevention Program with additional supervision through the Center for Precision Psychiatry (Smoller).
Please note, the functions below are representative of major duties that are typically associated with these positions. Specific responsibilities may vary based upon departmental needs. Similarly, not all duties that have been outlined will be assigned to each position.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
EDUCATION:
Bachelors Degree Required; Candidate must be enrolled in Master’s level program (MA or PhD)
EXPERIENCE:
Prior experience with longitudinal cohorts preferred
Prior experience with using large datasets on high-performance computing clusters preferred
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