Director, Data Science and Machine Learning

Flagship Pioneering, Inc.•Cambridge, MA

About The Position

FL121 is seeking a talented and highly motivated Director (Data Science/ Machine Learning). We’re looking for a resourceful computational problem solver and agile leader, someone who is not only scientifically rigorous and accountable for their and their team’s work, but also has a high EQ and is a motivating force within cross-functional teams. The ideal candidate brings a track record of building computationally strong data environments, developing predictive models based upon internal and external databases, driving results in a fast paced and demanding environment, and enabling others to do their best work, all while communicating with clarity and empathy.

Requirements

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.

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.
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.