Scientist

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 .

We are seeking a motivated and collaborative AI/ML Scientist to contribute to new predictive modeling and optimization approaches for biologics discovery and design. As part of our Computational Design and Predictive Modeling team, you will work at the intersection of state-of-the-art machine learning and therapeutic innovation. You will apply advanced computational methods to high-dimensional assay data and antibody repertoires to build models that guide molecular invention and development.

This role is an excellent opportunity for an early-career scientist to gain experience in drug discovery, collaborate with experts across disciplines, and make meaningful contributions from day one. You will work closely with wet-lab scientists, protein engineers, and project teams to translate AI research into actionable solutions that advance therapies that could transform patients' lives.

RESPONSIBILITIES

• Develop and apply machine learning models to predict antibody properties (e.g., binding affinity, expression, stability, developability).

• Contribute to optimization workflows that support molecular engineering and development candidate selection.

• Collaborate with experimental teams to integrate model predictions with assay feedback in rapid design-make-test-learn cycles.

• Work with team members to prototype, benchmark, and document computational pipelines and workflows.

• Present findings in internal discussions, project meetings, and seminars.

QUALIFICATIONS

• Ph.D. in computer science, machine learning, statistics, computational biology, or related field; or Master's with 2-3 years of relevant research or industry experience.

• Strong foundation in machine learning, with experience in one or more of: sequence modeling, protein property prediction, optimization methods, or generative modeling.

• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).

• Experience handling large biological datasets (sequence, assay, or structural data).

• Strong problem-solving skills and a drive to learn new techniques and apply them in a biological context.

• Excellent written and oral communication skills, with the ability to explain technical concepts across disciplines.

• Interest in working in a highly collaborative, team-oriented environment.

• Background knowledge in protein biochemistry, antibody engineering, or structural biology is desirable but not required.

#LI-Hybrid

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.

Compensation Overview:

Cambridge Crossing: $141,150 - $171,042

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit

Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.

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 a supportive culture, promoting global participation 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 an 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 [email protected] . 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.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:

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Company: Bristol-Myers Squibb

Req Number: R1595225

Updated: 2025-09-18 03:16:07.840 UTC

Location: Cambridge Crossing-MA

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.