Senior Director / Vice President, Machine Learning (Generative Chemistry)
Flagship Pioneering · Cambridge, MA USA
About this role
**About FL117** FL117 is a venture-backed stealth AI x bio startup seeking a **Sr. Director / VP, Machine Learning (Generative Chemistry)**. You’ll lead AI/ML and cheminformatics projects building next-gen **multi-modal generative models** for biomolecular design. You will define and deliver pragmatic AI strategies, oversee method and platform development (e.g., systems design, drug design, molecular modeling, LLM/agentic workflows), and ensure rigor in model development, benchmarking, and scaling. You’ll manage a computational team split across **AI/ML, molecular simulations, and cheminformatics**, directly influencing company-building decisions. We’re looking for independent leaders excited to work in a fast-paced environment to push the frontier of **AI-powered drug discovery**. **Responsibilities** - **Program Leadership:** Lead development, implementation, control, and reporting of multiple AI/ML or computational projects within assigned ventures aligned to broader strategy, budgets, and timelines. - **Technical Ownership:** Own specialized technical work across method development, pipeline development, and LLM-based agent/workflow design; drive benchmarking, scaling, and production-grade implementation. - **Best Practices:** Promote operational excellence by educating cross-functional collaborators. - **Team Leadership:** Manage and/or coordinate internal scientists and engineers and cross-functional teams; mentor early hires; support recruiting and interviews. - **Planning & Resourcing:** Contribute to project planning (budgets, resources, timelines) and surface risks/tradeoffs early with clear options. - **Landscape & Strategy:** Scout emerging literature and the AI/ML landscape; synthesize concepts to propose new development strategies and identify opportunities for PI and venture portfolios. **Must-have Qualifications** - **MSc or PhD** in Computer Science, AI/ML, Physics, Biophysics, or a related field. - **7+ years** experience in scientific/engineering/computational roles in Pharma or Biotech (industry AI/ML experience preferred). - Experience driving results through teams in dynamic, fast-paced, entrepreneurial, technical environments. - Clear evidence of sustained independent thought and creativity with high-impact work across drug development and chemistry AI/ML. - Track record of leadership and contribution to decision-making on progression of AI/ML models. - Depth across core tools/concepts, including **Python**, modern ML frameworks (**PyTorch** or **JAX/TensorFlow**), version control, databases, deep learning architectures, and relevant informatics software. - Consistent record of outstanding performance (e.g., publications, patents, or high-impact internal reports). - Proven ability to lead technical initiatives, communicate progress, and drive innovation in generative biomolecular design. **Preferred Experience** - Breadth across domains such as protein modeling/design, cheminformatics/docking/ADMET, biophysics/MD, and LLM/agentic automation. - Please send your **GitHub** (if applicable).
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