Flagship Pioneering, Inc. - Director, Data Science and Machine Learning

• Pioneer and lead computational efforts for FL121’s platform science • Develop a data-framework and database for tracking DNA translation to chemistry, and chemistry to drug-characteristics in partnership with platform team • Strategically map out chemical representation optionality and develop framework for platform chemistry that can scale with data • Lead base-case chemical prediction models that can scale with data and forecast and scope data needs to enable models to have strong predictive power • Build and support computational capabilities to unlock de-novo mass spec deconvolution models • Integrate computational efforts across all platform workstreams to create a cohesive data-collection and integration workplace • Serve as a cross-functional program lead, guiding interdisciplinary teams of computational scientists, mass-spec scientists, medicinal chemists, and synthetic biologists toward shared goals. • Communicate computational goals, progress, and key decisions clearly across audiences, from scientists to executives, tailoring messaging with clarity and intention. • Build and manage budgets, thoughtfully allocating in-house and external resources to maximize impact while remaining cost-conscious and efficient. • Serve as a trusted, people-first leader fostering a collaborative, psychologically safe team environment that supports the scientific and personal development of team members. • Lead with authenticity and transparency, encouraging open dialogue, surfacing diverse perspectives, and engaging in courageous conversations when needed. • Professional Experience and Qualifications • Masters or PhD in a relevant field (e.g., computational chemistry, machine learning, data science, etc) with 10+ years’ experience in scientific/engineering/computational settings in biotechnology settings; industry AI/ML experience preferred • Experience driving results directly or indirectly through teams of scientists and engineers in varied technical environments • Depth across multiple core tools and concepts, including, Python, modern ML frameworks (RDKit, scikit-learn, Chemprop, etc), version control, databases, deep learning architectures, and relevant informatics software (AWS, Seqera, Benchling, etc) • Demonstrated success as a team-oriented leader who motivates others and builds strong, trust-based relationships across functions • Proven ability to lead complex, cross-functional programs balancing scientific vision with disciplined execution and strategic resource management • Track record of intellectual agility and curiosity, with an ability to adapt quickly, think critically, and lead through ambiguity. • Strong emotional intelligence, with demonstrated maturity in navigating interpersonal dynamics, providing feedback, and supporting the growth of PhD and non-PhD scientists. • Exceptional communication skills, both written and verbal, with a consistent ability to convey complex ideas clearly and succinctly to diverse stakeholders. • A people-first, enterprise-minded approach that uplifts others, builds cohesion, and drives a culture of collaboration and accountability.