Associate Director – Machine Learning Sciences

Bristol Myers Squibb

. Lead and grow a team of machine learning scientists focused on ADMET/PK prediction and multiparameter design for small molecules .

Posted 9/22/2026full-timeUnited StatesSenior💰 $184,300 - $256,831 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning applications within chemistry and drug discovery, particularly in ADMET/PK prediction and multiparameter design. Proven leadership in managing teams and driving scientific strategy while effectively communicating complex concepts across disciplines.

Highest-signal resume keywords

Machine Learning Application in ChemistryADMET/PK PredictionTeam Leadership and MentoringCross-Disciplinary CollaborationPharmaceutical R&D Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning MethodsComputational ChemistryData AnalysisModel ValidationMolecular DesignMultiparameter OptimizationPredictive Workflow Development

Soft Skills

Strong Communication SkillsCuriosity and InitiativeCollaboration Across Disciplines

Tools & Technologies

Computational ToolsData Science PlatformsEmerging Technologies

Industry Keywords

PharmaceuticalBiotechDrug DiscoveryDMPKIn Vitro Biology

About the role

Key responsibilities & impact

Lead and grow a team of machine learning scientists focused on ADMET/PK prediction and multiparameter design for small molecules
Set scientific strategy and priorities for the Machine Learning Sciences team
Partner with computational scientists, medicinal chemists, DMPK scientists, in vitro biologists, and data scientists
Embed ML-driven predictions into project workflows and decision-making
Drive model predictivity improvements through validation, benchmarking, and iteration against experimental data
Evaluate academic literature, startups, platforms, and emerging technologies
Lead assessment and adoption of promising approaches into predictive workflows
Represent Machine Learning Sciences in cross-departmental forums
Communicate results, capabilities, and strategy to scientific and senior leadership
Mentor and develop team members
Contribute to departmental strategy as a member of the Computational Sciences leadership community
Report to the Executive Director of Small Molecule Computational Sciences

Requirements

What you’ll need

Bachelor's degree with 12+ years of academic/industry experience, OR Master's with 10+ years, OR PhD with 8+ years in Chemistry, Computational Chemistry, Computer Science, Engineering, or a related field
Demonstrated experience applying machine learning methods to chemistry- or drug discovery-relevant problems, such as ADMET/PK prediction, property prediction, or molecular design
Track record of leading teams or projects to productive, measurable scientific impact
Strong ability to collaborate across disciplines and communicate complex technical concepts to diverse audiences, including non-computational scientists
Demonstrated curiosity and initiative in evaluating and adopting new methods, tools, or technologies
Direct people management experience preferred
Experience in pharmaceutical, biotech, or similar drug discovery R&D preferred
Familiarity with multiparameter optimization approaches in small molecule design preferred
Experience building or maintaining relationships with external technology providers, academic collaborators, or platform vendors preferred

Benefits

Comp & perks

Comprehensive benefit plans including wellbeing support, retirement and financial protection benefits, and medical, dental, vision, life and disability insurance
Flexible Time Off (FTO) for U.S.-based exempt employees
11 paid company holidays each year
160 hours of paid vacation annually for eligible new hires
3 optional holidays for eligible non-exempt, RayzeBio, and Puerto Rico employees
Paid sick leave
Up to two paid volunteer days per year
Summer hours flexibility
Leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
Annual Global Shutdown between Christmas Day and New Year's Day
Wellbeing support
Retirement and financial protection benefits
Stock opportunities
Additional discretionary incentive cash