Forward Deployed Research Scientist (Biology)

About Goodfire Goodfire is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now. We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others. About the role Scientific AI models trained to model natural systems are revolutionizing research across scientific domains, including protein interaction prediction, protein design, disease prediction, and materials discovery. We’re looking for a Forward Deployed Research Scientist (Biology) to join our team to work directly with customers to develop new techniques for understanding and designing large biological foundation models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward. Where you might contribute: Forward deployed research – lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they’ve learned. Project delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more. Key Responsibilities: Work directly with customers to conduct original research in interpretability and computational biology. Prototype techniques to visualize and manipulate internal model structures. Collaborate with engineering to turn research into production-ready tools. Drive partnership success by collaborating closely with our customers and partners. Help define and evolve our research direction. What you’ll bring Required experience PhD/MD or equivalent experience in biology, with a strong ML background and experience in computational biology or bioinformatics. Deep familiarity with large models and a passion for understanding how they work. Fluency in Python and ML frameworks such as PyTorch. Strong writing and communication skills for explaining complex ideas. Drive to move quickly and take ownership. Prefe