Director, Data Science and Machine Learning

Key Responsibilities

• 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.

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.