"Alerted.org

Scientific Software Engineer - Python ROCGJP00034886 * Hourly pay: $65-$75/hr * Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Onsite) * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 12 Month Assignment A leading biotechnology company is seeking a Scientific Software Engineer - Python. The successful candidate will build workflows and user interfaces for computational and medicinal chemists, collaborate extensively with computational and experimental researchers to deploy and deliver Python-based solutions for small-molecule drug discovery. Scientific Software Engineer - Python Responsibilities: * Work as a scientific software engineer to implement Python-based workflows for cheminformatics and computational chemistry tasks to support our Lab-in-the-Loop efforts for small-molecule drug discovery. * 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. * Benchmark and deploy new machine learning techniques for small molecule potency prediction. Scientific Software Engineer - Python Qualifications: * 1-3+ years of industry experience. * BS, MS, or PhD degree in a computational field (e.g. Computer Science, Engineering, or related field). * Experience with RDKit or OpenEye Toolkits is preferred. * Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data, is preferred. * Experience deploying microservices on Kubernetes is preferred. * Experience with workflow engines such as Apache Airflow or Dagster is preferred. * Expert in Python and experienced with scientific software development. * Experience with deploying software workflows on cloud and HPC platforms. * Experience working on collaborative code bases, including merge requests, code review, writing tests etc. * Demonstrated experience with modern Python frameworks for deep learning, like PyTorch, is preferred. * Highly motivated and independent self-starter who is eager to collaborate. * Basic understanding of modern machine learning methods, including predictive models, generative models, and active learning as applied to small-molecule drug discovery. * A public portfolio of projects available on GitHub is preferred. #PP