"Alerted.org

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 directly contribute to small molecule discovery projects that advance drug candidates - from hit identification through candidate nomination .

The successful candidate will perform key research activities, including but not limited to :

+ applying machine learning methods to drive chemical structure optimization within the context of therapeutic projects

+ disseminating successful approaches across the computational chemistry department to enable uptake and impact on several discovery projects

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. E xpertise in predictive modeling and generative molecular design with applications to therapeutic projects would be beneficial . 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 .

+ Expertise in a subset of machine learning and cheminformatics libraries, such as PyTorch , TensorFlow, Kera's, Pandas, Scikit-Learn, DeepChem , RDKit or OEchem is essential.

+ 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.

+ Experience adopting and depl oying open-source tools as well as vendor solutions

+ 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 i n peer-reviewed scientific journals.

Skills & Experience:

+ Familiarity with chemical representations (e.g., SMILES, 2D/3D structures, molecular fingerprints)

+ Basic understanding of biology and its intersection with drug discovery

+ Hands-on experience with regression and categorization/classification tasks

+ Application of QSAR (Quantitative Structure-Activity Relationship) modeling

+ Practical knowledge of the distinction between generative design and generative AI in the context of small molecules

+ Experience with predictive and generative machine learning models

+ Familiarity with various ML architectures applicable to chemistry and biology data, including text/LLM-based, graph-based, and others

+ Competence in Linux environments and Python programming

+ Model training, hyperparameter tuning, and evaluation of model performance

+ Use of data visualization tools to interpret and communicate results

+ Familiarity with the DMTA (Design-Make-Test-Analyze) cycle in drug discovery

+ Experience in property/activity prediction of molecules

+ Synthesizability and synthetic route prediction for small molecules

+ Experience applying generative AI techniques to small molecule discovery

+ Molecular optimization approaches for property improvement and novel design

The starting compensation for this job is a range from $122,740 - $148,700, plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. 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 our BMS Careers Site (https://careers.bms.com/life-at-bms/) .

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.

\#LI-Onsite

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 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/ (https://careers.bms.com/eeo-accessibility) 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: https://careers.bms.com/california-residents/

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

**Company:** Bristol-Myers Squibb

**Req Number:** R1589889

**Updated:** 2025-07-16 03:50:16.944 UTC

**Location:** Princeton-NJ

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.