Associate Director, ML Sciences — Drug Design & ADMET

Bristol-Myers Squibb; Massachusetts; Hybrid; USD 212,000 - 257,000; Full time

Job summary

Bristol Myers Squibb is seeking an Associate Director to lead the Machine Learning Sciences team within the Computational Sciences portfolio. You will set scientific direction, manage scientists, and partner with medicinal chemists, DMPK, and data scientists to ensure predictive models drive decision-making.

The role requires an advanced degree with extensive ML in chemistry-related problems and a track record of leadership, collaboration, and innovation in a drug discovery environment.

Qualifications

• Advanced degree with relevant experience in chemistry, computational chemistry, CS, or engineering.
• Proven leadership of teams or projects with scientific impact.
• Ability to translate complex technical concepts to non-specialists.
• Curiosity in evaluating new methods, tools, or technologies.

Responsibilities

• Lead and grow the Machine Learning Sciences team.
• Set scientific strategy and priorities for ML Sciences.
• Partner with cross-functional scientists to embed ML predictions into workflows.
• Drive model validity through rigorous benchmarking and experimental validation.
• Scan literature and external tech to identify and adopt new approaches.
• Represent ML Sciences in cross-department forums and leadership discussions.
• Mentor team members and foster rigor, collaboration, and innovation.
• Contribute to departmental strategy within Computational Sciences leadership.

Skills

Leadership experience

Cross-disciplinary collaboration

ML in chemistry/drug discovery

Communication to diverse audiences

Education

PhD in Chemistry

Master’s in related field

Bachelor’s in related field

Tools

ML frameworks (TensorFlow/PyTorch)

Job description

Bristol Myers Squibb is seeking an Associate Director to lead the Machine Learning Sciences team within the Computational Sciences portfolio. You will set scientific direction, manage scientists, and partner with medicinal chemists, DMPK, and data scientists to ensure predictive models drive decision-making.

The role requires an advanced degree with extensive ML in chemistry-related problems and a track record of leadership, collaboration, and innovation in a drug discovery environment.