Ph.D. in computational biology, physics, mathematics, statistics, computer science, or related fields Proven track record of developing computational analyses for biological data Background in machine learning Proficiency with Python, associated analyses and visualization packages, as well as command line Proficiency in high-performance computing Proficiency with good practices for reproducible research (git, Jupyter)