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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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and analysis, programming, instrumentation development, and support of research projects involving cells and other biological systems. The Research Associate will assist with the development and
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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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); 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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. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB ; background in mechanistic
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. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB ; background in mechanistic
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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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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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by the start date. Demonstrated expertise in mathematical or computational modeling and dynamical systems. Proficiency in either Python, MATLAB , R, or a comparable scientific programming environment
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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