Vice President, Research Business Insights & Technology

Vice President Of Research Business Insights & Technology

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

At Bristol Myers Squibb (BMS), a top 10 global biopharmaceutical leader, we are seeking a visionary scientific and technical leader for the role of Vice President of Research Business Insights & Technology. In this role, you will define and execute the strategy for technology to contribute to BMS's drug discovery / research team and shape the future of medicine. Reporting to the Senior Vice President of R&D - Business Insights & Technology (BI&T), you will lead a global team of 175 talented analysts, data scientists, and engineers globally with key hubs in Boston, Princeton, California, Seattle, and Hyderabad. With a budget of approximately $100 million, you will harness data and innovation to drive smarter decision-making in early R&D. This is an opportunity to transform how we discover and design new therapies, from identifying intervention points in disease to selecting & designing molecules to preparing for INDs and entering into clinical studies, by ensuring BMS remains at the cutting edge of scientific discovery through its use of technology. In this highly visible leadership role, you will be responsible for working with the Research leadership team to establish the vision and strategy for technology, data, and AI in drug discovery, fostering a culture of innovation, collaboration with research scientists and data-driven decision-making. You will work at the intersection of science, technology, and business, inspiring cross-functional teams to enable advanced AI / ML, data science, and predictive modeling techniques in pursuit of breakthrough therapies. Your leadership and your work will directly influence BMS's pipeline - accelerating the path from idea to lifesaving medicine - by integrating and ensuring usability of AI, technology, and data to support research and computational scientists generating data and deriving translational insights to de-risk drug projects and informing research priorities. If you are a forward-thinking leader passionate about integrating science, technology, AI, and data to improve patients' lives, this role offers a chance to make an enduring impact on our organization and the wider industry.

Key Responsibilities

• Strategic Vision & Leadership : Develop and execute a bold Business Insights and Technology strategy working closely with Research that aligns with BMS's portfolio goals and mission to transform patients' lives. Champion the use of cutting-edge technologies (GenAI and Agents, AI / ML, automation, high performance & cloud computing) to predict, design, assess, and prioritize the most promising drug intervention points and drug candidates. Articulate a clear, forward-looking vision that inspires both your team and stakeholders to embrace data-driven innovation.
• Operational Excellence : Ensure that systems and technology operate every day and work well for their intended purposes. Reliability & continuous improvement of our key systems and from ELN to LIMS to analytic tools, is always the first priority.
• Global Team Leadership : Lead, mentor, develop, and empower a global team. Foster an inclusive, high-performance culture that encourages curiosity and experimentation. Build organizational capability by attracting top talent (including bringing in external expertise) and developing the next generation of leaders in data, AI, and technology.
• Innovation in Drug Discovery : Drive innovation in in silico drug design and discovery analytics. Partnering with R&D embedded specialized computational and quantitative groups (computational chemistry, and chemoinformatic) in the development of AI / ML models for molecule design, target identification, lead optimization, accelerating the discovery of high-quality drug candidates. Stay abreast of emerging scientific and technological advances and ensure BMS leverages these tools to pioneer new approaches in small molecule and biologics design.
• Translational & Precision Medicine : Deliver capabilities for data and insight that bridge R&D. Build and manage technology capabilities that enable us to integrate data across preclinical data, clinical, and real-world evidence to inform early development strategies. Partner with R&D embedded computational groups (pharmacometrics, clinical pharmacology, informatics & predictive sciences).
• Cross-Functional Collaboration : Serve as a bridge between scientific and technical teams, working closely with research computational scientists, medicinal chemists, biotherapeutic scientists, biologists, translational scientists, and Research leadership. Deliver on a portfolio of technology solutions and services to ensure day-to-day operations and make data and insights available for decision-making at all stages of research. Influence cross-functional strategy by communicating technology opportunities in clear, compelling ways to senior R&D stakeholders, tied to the ability to make evidence-based decisions on portfolio direction.
• Portfolio & Budget Management : Oversee a portfolio of analytics projects and platforms, managing an annual budget of >

$100M. Prioritize initiatives that deliver high scientific impact, lower cost and accelerate BMS's pipeline of new medicines. Ensure efficient allocation of resources and drive accountability for delivering results. Continuously evaluate build vs. buy opportunities, including external partnerships, platforms, or data acquisitions that could accelerate our analytics capabilities.

Qualifications & Experience