HealthJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-06-23 05:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Scientist - Machine Learning, Chemistry and Drug Design

Bristol Myers Squibb · Princeton - NJ - US

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 seek an enthusiastic and team-oriented scientist to join our Cheminformatics and Machine Learning Team. This individual will drive the uptake of new technologies for machine learning based activity prediction, Bayesian optimization and capabilities for closed loop synthesis relevant to the small molecule discovery portfolio.  These technology enhancements will lead directly to advancing drug candidates from hit identification through candidate nomination.

The successful candidate will perform key research activities, including:

  • Explore novel machine learning methods, architectures and molecular representations to drive improvements in the activity prediction model portfolio
  • Champion Bayesian optimization capabilities for enhanced chemical space exploration

The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. Expertise in Bayesian optimization is essential for success in this role. The successful candidate must have a sufficient understanding of chemistry and the ability to communicate with collaborative scientists from a broad array of backgrounds.

The selected candidate will join a research team with a track record of pipeline impact across modalities and across therapeutic areas. This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.

Basic Qualifications:

  • Ph.D. and no experience required, OR Master’s Degree with 3+ years of academic / industry experience, OR Bachelor’s Degree with 5+ years of academic / industry experience.

Preferred Qualifications:

  • Ph.D. with 0- 2+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design. Postdoctoral or industry experience a plus.
  • Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.
  • Proficiency in programming and scripting languages such as Python, C/C++, and/or R etc.
  • Hands-on experience with modern ML/cheminformatics stack (PyTorch, TensorFlow, Pandas, Scikit-Learn, DeepChem, RDKit, Oechem) is essential and end-to-end deployment of molecular-design models in research or production environments is a plus.
  • Experience in the critical assessment of experimental data. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
  • This position will be operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
  • An aptitude and desire to learn and apply new techniques is expected as well as personal attributes of integrity, creativity, problem solving, and a strong work ethic.
  • Excellent communication skills are a must.
  • Track record of publications in peer-reviewed scientific journals.

#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:

Princeton - NJ - US: $122,740 - $148,732 


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 https://careers.bms.com/life-at-bms/.
 

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

  • Health Coverage: Medical, pharmacy, dental, and vision care.

  • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

  • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

​Work-life benefits include:

Paid Time Off

  • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the 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.

Supporting People with Disabilities

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.

Candidate Rights

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: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

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

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [email protected]. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1603749 : Scientist - Machine Learning, Chemistry and Drug Design

Healthcare pay context

Based on 3,231 disclosed Healthcare salaries on RoleSuite, the role pays a median of $110K/year, with most offers between $87K and $165K (10th–90th percentile: $66K–$250K).

This posting lists $123K–$149K, above the $110K market median.

See the full Healthcare salary breakdown →
Apply →

Other roles at Bristol Myers Squibb

  • Senior Manager, Capital Services & Solutions OperationsSummit West - NJ - US
  • Associate Scientist, Synthesis Process DevelopmentCambridge - MA - US
  • Principal ScientistPrinceton - NJ - US
  • Beca Strategy & OperationsMadrid
  • Scientific Associate Director, Oncology Translational ResearchCambridge Crossing - MA - US
  • Specialist, External Communication Review and Medical Operation (Fixed Term)Seoul - KR
  • Head of Medical CapabilitiesSan Diego - RayzeBio - CA
  • Business Analyst I – International Markets AnalyticsHyderabad - TS - IN
  • Safety Narrative WriterHyderabad - TS - IN
  • Therapeutic Area Specialist (TAS) Cardiología / Representante de Ventas - MonterreyMexico City

More Healthcare roles

  • Health Representative - Vaccine (MOE Central)Pfizer · Malaysia - Kuala Lumpur
  • Health Representative (เขตใต้บน)Pfizer · Thailand - Remote
  • Senior QC AnalystPfizer · Singapore - Tuas
  • Pharmaceutical Information Specialist,AIMerck · CHN - Jiangsu - Nanjing (Intl Finance Cntr Regional)
  • Rehabilitation Technician — In Motion Physical Therapy — RedmillBon Secours Mercy Health · Virginia Beach, VA
  • Specialty Representative, HCV - Dallas, TXAbbVie · Dallas, TX, United States
  • Specialty Representative, HCV - Tyler, TXAbbVie · Tyler, TX, United States
  • Clinical Director I, Data and AI ConvergenceAbbVie · North Chicago, IL, United States
  • Virtual Seasonal Physician Assistant - DC or TX LicensedOne Medical · Austin, TX
  • Virtual Seasonal Physician Assistant - DC or TX LicensedOne Medical · Dallas, TX