About the role
Scientist/Engineer, Machine Learning / Bioinformatics Moonwalk Biosciences, Inc. Scientist/Engineer, Machine Learning / Bioinformatics South San Francisco, CA Type: Full-time Min. Experience: Senior Level Salary: $130,000 - $173,000 Scientist/Engineer, Machine Learning / Bioinformatics Position Overview: Moonwalk Biosciences is recruiting a Senior Scientist/Engineer, Machine Learning / Bioinformatics to join our multidisciplinary R&D team. This individual will play a key role in advancing Moonwalk’s mission to develop first-in-class medicines through the discovery and functional characterization of novel therapeutic targets. As a core member of the computational biology group, you will work closely with experimental scientists and build machine learning systems to support target discovery and preclinical work. Key
Responsibilities: Develop internal “AI co-scientist” tools, connecting LLMs to our proprietary and public datasets to help generate therapeutic hypotheses. Work directly with experimental scientists to gather feedback on the tools and use it to guide ongoing development. Write clean, maintainable Python code and document your methods clearly so pipelines are robust and reproducible for the broader team. Required
Qualifications: Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field (or M.S. with 3+ years of relevant experience) Strong software engineering fundamentals, including proficiency in Python. A pragmatic mindset: you are motivated by the end goal of advancing therapeutics and enjoy building reliable, useful tools that directly advance our preclinical programs. Excellent collaboration, communication, and problem-solving skills. Track record of impactful contributions, including open-source tool development or peer-reviewed publications. Preferred Skills and Experience: Experience analyzing genomics or other preclinical biological data. Familiarity working with LLM APIs, prompt engineering, or agentic workflows. Salary Range: $130,000 to $173,000
