Lead Machine Learning Scientist - Biological Applications

Lead Research Scientist / Engineer Biology Foundation Models ($100M+ Seed) $250,000 - $350,000 salary + bonus + equity Join a groundbreaking stealth biotech firm that is pioneering the development of interconnected

Foundational Models

across various modalities in

biology and genomic discovery . This is an exceptional opportunity to become a key player in a rapidly expanding division, spearheaded by notable figures in technology and academia. We are looking for specialists in advanced

AI methodologies & architectures

including Generative Models, Diffusion, GNN, Flow Models, Self-Supervised Learning, and Multimodality. Key Responsibilities: Design, develop and train cutting-edge AI models aimed at a multimodal approach to biodiscovery. Conduct research and refine models to guarantee optimal-performance data transformation. Stay updated with the latest literature to fine-tune models focused on biological breakthroughs. Proactively shape the development roadmap and assist in talent acquisition for your team. Qualifications: Master's or PhD in Computer Science, Machine Learning, Chemistry, Biology or a related field. Over 5 years of experience in developing and training LLM/Diffusion/GNN models with parameter ranges from 7 billion to 70 billion. Experience with computational packages applied to chemistry or biology is a plus. Proficient in utilizing high-performance GPU clusters. Why Join Us? Make a difference by building and leading a new division at the forefront of AI innovation. Enjoy a competitive salary and benefit package on par with top tech companies. Collaborate with talented professionals from FAANG, Genentech, and trailblazing AI companies. Comprehensive Medical, Dental, and Vision Insurance included. Relocation assistance is available. San Francisco Bay Area, USA Interested in applying? Please click on the Easy Apply button or email your resume to anir.gantugs@storm3.com Storm3 is a HealthTech recruitment firm working with clients across major tech hubs in Europe, APAC, and North America. To explore job opportunities or discuss career options, visit our website and follow our LinkedIn page for the latest updates.