Associate Director Machine Learning Sciences

At Bristol Myers Squibb our employees often ask Who are you working fora question that fuels collaboration accountability and urgency in our work. Our purpose-driven culture inspires us to discover develop and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work opportunities for growth and a supportive environment that values inclusion wellbeing flexibility and comprehensive benefits. This is work that transforms the lives of patients and the careers of those who do it.

Position Summary

The Computational Sciences department drives the use of computation spanning both AI/ML and physics-based methods to accelerate and de-risk the Research Portfolio. Within this department the Machine Learning Sciences team is a small high-impact group focused on applying machine learning approaches to strengthen predictive capabilities across our small molecule portfolio. The teams work spans ADMET and PK prediction as well as approaches to multiparameter compound design and it operates at the interface of computational chemistry medicinal chemistry DMPK in vitro biology and data science.

We are seeking an Associate Director to lead the Machine Learning Sciences team. This is a high-visibility role reporting to the Executive Director of Small Molecule Computational Sciences with regular exposure to senior leaders across Research. The successful candidate will set scientific direction for the team manage a small group of talented scientists and partner closely with portfolio-facing computational scientists medicinal chemists DMPK scientists in vitro biologists and data scientists to ensure our predictive models achieve the highest possible accuracy and impact on decision-making.

Beyond managing the teams current portfolio of work this leader will be expected to keep the group at the leading edge continuously evaluating new ML methodologies algorithms and external technologies and bringing the most promising approaches into our predictive workflows.

What Youll Do

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

• Set scientific strategy and priorities for the Machine Learning Sciences team in alignment with broader Computational Sciences and Research goals.

• Partner cross-functionally with portfolio-facing computational scientists medicinal chemists DMPK scientists in vitro biologists and data scientists to embed ML-driven predictions into project workflows and decision-making.

• Drive continuous improvement in model predictivity through rigorous validation benchmarking and iteration against experimental data.

• Scan the external landscape academic literature startups platforms and emerging technologies to identify and evaluate new approaches for improving prediction and lead their assessment and adoption where appropriate.

• Represent Machine Learning Sciences in cross-departmental forums communicating results capabilities and strategy to scientific and senior leadership audiences.

• Mentor and develop team members fostering a culture of scientific rigor collaboration and innovation.

• Contribute to departmental strategy as a member of the Computational Sciences leadership community.

What Were Looking For

Were seeking an experienced innovative scientist that passionate about the role of computation in drug design.

The ideal candidate will bring:

• Advanced degree with experience - (Bachelors degree with 12 years of academic/industry experience OR Masters 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 (e.g. ADMET/PK prediction property prediction molecular design).
• A 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.

Preferred Qualifications

• Direct people management experience (supervisory responsibility for scientific staff).

• Experience working within a pharmaceutical biotech or similar drug discovery R&D environment.

• Familiarity with multiparameter optimization approaches in small molecule design.

• Experience building or maintaining relationships with external technology providers academic collaborators or platform vendors.

#LI-Hybrid

We hire for skills and capabilities not just credentials if this role excites you but doesnt perfectly match your resume we encourage you to apply anyway.

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully carefully considering the nature of the role required skills work location schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors and individual team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect you may be eligible to participate in our comprehensive benefit plans including wellbeing support retirement and financial protection benefits and insurance offerings (medical dental vision life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO) which provides paid time off without a set accrual limit subject to manager approval along with 11 paid company holidays each year.

Non-exempt employees RayzeBio employees and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval) 11 paid company holidays and 3 optional holidays.

Depending on eligibility employees may also have access to additional time-off benefits including paid sick leave up to two paid volunteer days per year summer hours flexibility and leaves of absence for medical personal parental caregiver bereavement or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Years Day.

U.S.-based job seekers can explore full benefit offerings at We Work

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