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statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated proficiency with R or Python Demonstrated ability to effectively
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high-quality papers reporting on methodological and biological advances resulting from this work Who you are: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field
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statistical mechanics fundamentals. Proficiency in at least one commonly used molecular simulation package such as AMBER, LAMMPS, GROMACS, NAMD, Rosetta, MOE, Schrodinger, Docking tools, and structural
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expertise in common disease genetics (GWAS, polygenic scores) and statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated