Principal Scientist, Machine Learning/Predictive Cell State Design Full-time

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 rich in diversity. 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.

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.

The ideal candidate will work in a computational research group within a global IPS organization and alongside Cancer Immunology & Cell Therapy Thematic Research Center (CICT TRC) colleagues to optimize engineering of cell therapies, identify molecular mechanisms to improve efficacy, and reduce potential toxicities.

Responsibilities

Working in collaboration with computational, biological and clinical scientists across the Bristol Myers Squibb IPS, and CICT organizations, responsibilities include but are not limited to:

• Develop large multimodal foundation models (LLMs/LMMs) integrating structured and unstructured data for cell engineering and target discovery applications
• Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery
• Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery
• Collaborate with cross-functional team to design perturbation experiments and recommend novel drug targets and engage with broad discovery teams to translate computational insights into therapeutic concepts
• Participate in authorship of scientific reports in static and interactive formats, and present methods and conclusions to publishable standards

Basic Qualifications:

Bachelor’s degree with 8+ years of academic/industry experience.

Or

Master’s degree with 6+ years of academic/industry experience

Or

PhD with 4+ years of academic/industry experience

Preferred Qualifications:

• Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record

• Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings
• Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies
• Expertise in Python, PyTorch, and open-source data processing and visualization packages, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker)
• Demonstrated experience working with cloud computing services (e.g. AWS) and job schedulers (e.g. Slurm)
• Proven problem-solving skills, collaborative nature and flexibility across multiple research domains
• Ability to work independently and as a member of a global analytical research team in a fast-paced environment
• Familiarity with cell biology, immunology, oncology, or biologics a plus
• Fluent verbal and written English language skills

We are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ “, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.