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to individual career interests will be available. Education and Experience Requirements: PhD awarded by the start date (or to be shortly awarded) in fields such as biostatistics, computer science, bioinformatics
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the position will include whole-genome sequencing analysis using platforms like Prokevo, biostatistics with R, and 16S rRNA data mining with mothur/Qiime2. Additional Information: 40% Conduct laboratory and
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bioinformatics support and training to team members. Required Qualifications Ph.D. in a related field (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics). Proficiency in
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researchers and clinicians. Key Components: 1. Didactic Training: Didactic training will be designed to be specific to the individual. For fellows without a background in HSR, biostatistics, or health policy
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/ Statistical Genetics or closely related program. Required Qualifications Ph.D. degree in bioinformatics, statistical genetics, biostatistics, or a closely aligned quantitative area. Candidate is expected
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(Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics). Proficiency in programming/scripting languages such as Python, R, or Perl. Experience with single-cell and spatial data