Senior Scientist, Predictive Biology and AI

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: careers.bms.com/working-with-us.

Senior Scientist, Predictive Biology and AI

When you join BMS, you are joining a diverse, high-achieving team united by a common mission. 

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit.  IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS.   We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.   We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

Overview

The Predictive Biology and AI (PBAI) team within BMS Research develops and applies cutting-edge methods to address patient needs and answer fundamental questions in Oncology, Neuroscience, and other application areas. We work closely with our wetlab partners to both test and deliver our predictions into the pipeline as well as integrate the data they generate into our models. We seek a collaborative AI expert possessing skills spanning machine learning and statistics as well as a passion for addressing unmet patient needs. The successful candidate will thoughtfully evaluate and adapt state-of-the-art AI models and techniques to challenges in cell engineering and target discovery. The role offers the opportunity to impact directly the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need.

Responsibilities

• Apply, adapt, and in some cases create multi-modal foundation models such as large language models (LLMs), diffusion models, and encoder architectures to answer biological domain-specific questions
• Address real-world biological modeling challenges such as data sparsity, class imbalance, noise, experimental bias, and heterogeneity of effects
• Thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions
• Work in close collaboration with partners across the organization including wet-lab scientists, Research IT, and other computational scientists to broaden the impact of AI developments
• Maintain and share up-to-date knowledge of modern advances in the field, including presenting work at public conferences

Basic Qualifications

• Bachelor's Degree 7+ years of academic / industry experience
• Or Master's Degree 5+ years of academic / industry experience
• Or PhD 2+ years of academic / industry experience

Preferred Qualifications​ 

• A Ph.D. with 0+ years industry research experience or an M.S. with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field
• Expert-level understanding of and experience using deep learning tools and approaches (transformer-based e