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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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); write technical publications. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB
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development, instrumentation, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot
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neuroimaging experience Strong skills in statistical methodology development and implementation Strong programming skills, experience with imaging software is a plus Department Contact for Questions Yi Zhao
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Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of
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proficiency is a core requirement: Candidates must be proficient in C or C++ or a track record of mastering multiple low-level and high-level programming languages (e.g., Python, R, Julia, Fortran
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skills; background in cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning
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communication skills. · The ability and interest to work both independently and collaboratively within a research group. · Strong scientific programming skills. Research Proposal As part of the application
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related quantitative discipline. Strong quantitative, computational, and programming skills. Excellent written and verbal communication skills. Demonstrated ability to work both independently and