Teams at BigHat Biosciences

Lead BigHat’s machine learning strategy and a senior ML team developing antibody property models, generative protein models, and agent services. Build production-grade ML and MLOps capabilities, integrate models with automated wet-lab data, deliver computational insights for therapeutic programs, and develop platform offerings for AI and biopharma partners. The role combines technical leadership, hands-on modeling, team mentorship, external engagement, and accountability for reproducible, benchmarked ML impact on antibody design.

Own the full accounting function for a high-growth biotech, including financial close, reporting, technical accounting, R&D accruals, tax, equity accounting, compliance, and audit readiness. Build scalable finance infrastructure, internal controls, and SOX compliance processes while leading a NetSuite implementation and transition from QuickBooks. Prepare board reporting, manage external advisors and auditors, support public-company reporting, implement finance automation, and build an effective accounting team.

Develop generative and predictive machine learning models for therapeutic antibody sequence, structure, and property design. Build multi-objective optimization and agentic LLM methods for lab-in-the-loop protein engineering, deploy models with engineering teams, and support drug development programs. Collaborate with drug developers, wet-lab scientists, automation specialists, and data scientists to translate ML methods into validated antibody candidates.