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Bristol Myers Squibb
Cambridge Crossing - MA - US; Cambridge Crossing; Princeton - NJ - US; San Diego - CA - US
Source: Bristol Myers Squibb careers · View original posting
From Bristol Myers Squibb's posting. “We” and “our” refer to the employer.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a 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 team's 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 team's 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.
Compensation
Cambridge Crossing: $211,950 - $256,831 
Princeton - NJ - US: $184,300 - $223,325 
San Diego - CA - US: $202,730 - $245,665
 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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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