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scales. Comprehensive training will be provided, covering all aspects of clinical research—from participant recruitment and clinical screening to data capture, analysis, and interpretation of study
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and include supporting research design and implementation; overseeing data collection and analysis; interacting with internal (postgraduate fellows, research staff based in our affiliated country
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Science, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. There may also be
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line of research pertaining to youth suicide and engage in data collection, data analysis, manuscript preparation, grant writing, as well as training and co-supervision of Cha Lab research staff. Beyond
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and motivation for the position (2 pages maximum), including contact information for 3 references. 3 reference letters. Most current CV (maximum 3 pages) including date of award for PhD. Short (500
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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven
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projects, we have access to large datasets including the Million Veteran Program and the Psychiatric Genomics Consortium. The ideal candidate should hold an MD or PhD, and have a strong background in human
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scales. Comprehensive training will be provided, covering all aspects of clinical research—from participant recruitment and clinical screening to data capture, analysis, and interpretation of study