×
Register Here to Apply for Jobs or Post Jobs. X

Scientific Vice President, Lead Discovery & Optimization

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol-Myers Squibb
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Working with Us

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. Read more:

Position:
Scientific Vice President, Lead Discovery & Optimization (LDO)

Position Summary

The Scientific Vice President, Lead Discovery & Optimization (LDO) is a senior scientific and enterprise leader responsible for end-to-end lead discovery and optimization across a broad range of therapeutic areas, target classes, and modalities. The role spans target-to-lead, lead optimization, and preclinical candidate nomination, with accountability for mechanistic pharmacology, evolving discovery platforms, technology enablement, and IND readiness.

This role leads a large, multi-disciplinary cross-site (Lawrenceville NJ, San Diego CA, Cambridge MA, and Bangalore India) discovery organization (100+ scientists), including direct leadership of senior leaders, and plays a critical role in shaping the Lab of the Future by integrating automation, advanced technologies, and AI-enabled discovery workflows with deep biological and pharmacological rigor.

(Senior Executive – In Vitro Pharmacology / Lead Discovery / Mechanistic Pharmacology)

Key Responsibilities Scientific & Discovery Leadership
  • Provide executive leadership across lead discovery and optimization, with deep oversight of in vitro pharmacology, mechanistic biology, and molecular profiling.
  • Drive strategies for complex targets and differentiated, first-in-class or best-in-class mechanisms. Ensure discovery decisions are grounded in molecular quality, differentiated attributes, and mechanistic and translational insight.
  • Champion mechanistic pharmacology and disease-relevant biology as core drivers of molecular differentiation and downstream success.
Therapeutic Area & Target-Class Experience
  • Oversee discovery efforts across multiple therapeutic areas (e.g., oncology, immunology, cardiovascular, neuroscience).
  • Bring experience across diverse target classes, including historically challenging or emerging target categories.
  • Maintain strong translational line of sight from in vitro pharmacology through in vivo and early clinical hypotheses.
Platform, Modality & Technology Integration
  • Lead the evolution of lead discovery platforms across small molecules, and complex / emerging modalities.
  • Foster cross-functional and cross-modality fluency, enabling teams to bridge pharmacology, chemistry, biology, and technology.
  • Ensure platforms are scalable, adaptable, and aligned with pipeline needs.
Automation, AI & Lab of the Future
  • Set direction for state-of-the-art automation to enable broader profiling, higher-content mechanistic insight, and increased throughput for disease relevant phenotypic screens.
  • Partner with technology, data science, and AI teams to embed AI-enabled learning and decision loops into discovery workflows.
  • Help define and execute a Lab of the Future roadmap aligned with enterprise discovery strategy.
End-to-End Discovery & IND Productivity
  • Drive sustainable IND delivery through integration of mechanistic rigor, translational insight, and platform maturity.
  • Ensure strong alignment with adjacent functions- chemistry, biology, DMPK, safety, and preclinical teams. Influence portfolio and capability investment decisions to support sustainable pipeline flow.
People & Organizational Leadership
  • Lead and develop a 100+ person, multi-layered organization, including direct leadership of senior leaders.
  • Build strong talent pipelines, succession plans, and organizational health.
  • Operate effectively within a large-pharma, matrixed environment.
  • Serve as a visible scientific leader internally and externally.
Qualifications & Experience Required Experience
  • PhD (or equivalent) in Pharmacology, Biology, Biochemistry, Chemistry, or related discipline.
  • 15+ years of drug discovery experience, including senior leadership roles in large pharmaceutical or advanced biotech organizations.
  • Demonstrated experience across multiple therapeutic areas and diverse target classes.
  • Proven track record of advancing programs from early discovery through IND.
  • Direct experience leading organizations or teams of 40+ people, including people managers.
  • Deep expertise in screening, in vitro pharmacology, mechanistic biology, and molecular differentiation.
Preferred…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary