Machine Learning Scientist

Our client, a large biotech company, is looking for a Machine Learning Specialist to work at their facility in South San Francisco.Are you the right candidate for this opportunity Make sure to read the full description below.They are seeking a highly motivated Machine Learning Scientist to join their team to develop new scientific methodology and produce and deploy workflows usable by computational and ultimately wet-lab scientists.The successful candidate will collaborate extensively with computational and experimental researchers within Prescient Design and across the division to advance their scientific understanding of biomolecules.Responsibilities Work as a machine learning scientist to develop new scientific methodology for the understanding, scoring, ranking, generation, and design of biomolecules, especially proteins.Work as an engineer of scientific software, to produce usable, deployable code for these new methods to power the lab-in-the-loop.Use software best practices (version control, testing, modular code development, documentation, etc.) to collaborate on a large codebase with our team of methods developers.Deploy workflows on HPC and cloud platforms and deliver user-friendly web-based interfaces to medicinal chemists across the organization.Requirements BS, MS, or PhD degree in a life or physical science or a computational field.Expert in Python and experience with scientific software development.Experience with deploying software workflows on cloud and/or HPC platforms.Experience working on collaborative code bases, including merge requests, code review, writing tests etc.Highly motivated and independent self-starter that is eager to collaborate.Excellent communication and interpersonal skills.Basic understanding of modern machine learning methods including predictive models, generative models, and active learning as applied to molecular generation and optimization.Experience with Rosetta, OpenMM, and/or computational chemistry codes.3+ years of industry experience.Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.