This role serves as a pivotal bridge between scientific and technical teams to transform drug discovery through advanced data, technology, and AI
Job Summary
This role serves as a pivotal bridge between scientific and technical teams to transform drug discovery through advanced data, technology, and AI.
The successful candidate will lead the development of advanced analytics and machine learning models to accelerate early discovery timelines and improve target identification accuracy.
Bristol Myers Squibb offers a wide variety of competitive benefits and programs designed to support employee goals both at work and in their personal lives.
Matching Summary
This role serves as a pivotal bridge between scientific and technical teams to transform drug discovery through advanced data, technology, and AI.
Skills & Requirements
Must-have
AI/ML model deployment in drug discovery
Management of 30+ IT professionals
Experience with ELN and LIMS systems
Integration of preclinical and clinical data
Cloud computing and HPC infrastructure
Machine learning engineering best practices
Nice-to-have
Academic partnership development
Data-driven decision-making culture
Agile product-oriented team leadership
Vendor management experience
Innovation in in-silico drug design
Key Requirements
Master's degree or higher in related field
15+ years of experience in biopharma or tech sectors
Proven track record applying AI/ML to drug discovery
Experience managing global cross-functional teams
Familiarity with regulatory and data governance requirements