Head of Machine Learning

Head of Machine Learning /Senior Director LevelLocation Preference: Based in Cambridge, MA or near the RTP/NCRemote Option: The position could be remote for the right candidate.A biotechnology platform advancing nature-positive agriculture by leveraging breakthroughs in human health and digital innovation. It develops biological solutions that enhance crop health, helping farmers increase yields while adopting more sustainable, natural practices.Sector Focus:Nature-positive agricultureBioengineering for crop healthIntegration of computational biology and ML in protein and peptide designCore Responsibilities:Strategic Leadership:Define long-term vision for computational/AI-driven biological designLead cross-functional team (AI/ML, bioinformatics, structural biology)Foster scientific rigor, innovation, and rapid iteration cultureScientific & Technical Execution:Drive protein/peptide design using advanced ML (deep learning, generative models, protein language models)Develop predictive/generative models for function and developabilityIntegrate ML with wet-lab processes for DBTL accelerationContribute to Biodesign IP portfolio developmentCollaboration & Communication:Work closely with bioprocess, formulation, analytical, and regulatory teamsCommunicate insights and strategy to stakeholders and at scientific forumsAlign scientific direction with business and platform prioritiesProgram Oversight:Lead multiple computational discovery programsManage project timelines, technical prioritization, and resource planningIdeal Candidate Profile:PhD or equivalent in computational biology, ML, bioengineering, or related field10+ years in ML application to complex domains; 5+ years in leadershipExpertise in protein/peptide design via AI/MLSkilled in Python, scalable cloud environments (preferably AWS), and MLOpsProven team builder with biotech experienceIdeal Talent FitTarget Backgrounds & Skill Sets:Computational biologists with a strong machine learning foundationAI researchers with domain experience in protein engineering or synthetic biologyExperienced biotech leaders in bioinformatics or molecular modelingTechnical leaders with proven MLOps and software engineering practices in cloud environmentsPhD-level scientists adept in cross-functional team management and translational scienceThis role is suited for individuals at the intersection of life sciences and machine learning, with a mission-driven mindset and the capability to innovate at the frontier of biological design.

Created: 2025-09-25