Bristol-Myers Squibb Jobs

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 .

Scientist, Machine Learning, Active Learning and Discovery

BMS encompasses a broad range of disciplines to enable a robust pipeline of drug candidates aimed at serious diseases. Chemistry is a core capability in Small Molecule & Drug Discovery with innovative scientists working in medicinal chemistry, radiochemistry, analytical chemistry, and large-scale synthesis. Within SMDD our Lead Discovery and Optimization (LDO) team is responsible for high throughput screening, compound storage and distribution, primary assays to support discovery programs, and compound profiling to explore drug liabilities in vitro. LDO scientists discover and adopt cutting edge assay technologies that utilize state-of-the-art automation to drive speed and efficiency. Our Molecular Structure and Design team embraces novel approaches to computer-aided drug design, machine learning, and structural biology. The integration of these disciplines provides a seamless and highly interactive environment for discovery scientists to learn, develop, and innovate. Working in partnership with our disease area experts in the Thematic Research Centers provides an exciting pathway to discover and deliver medicines to patients in need.

We seek an enthusiastic and collaborative machine learning scientist with a focus on AI/ML methods to join our Small Molecule Drug Discovery team. In this role, you will contribute to a thoughtful, exciting, and cross-functional group applying AI to drive the development of groundbreaking therapies across multiple modalities, including targeted protein degraders. This role focuses on developing cutting-edge techniques to analyze and interpret machine learning models to originate novel therapeutics for our pipeline.

You will work as a valued member on a multidisciplinary team that is committed to leveraging predictive methods to optimize synthesis and screening of promising drug candidates. This role offers unprecedented opportunity to impact, directly, the origination and delivery of transformational and life-changing therapies in key diseases of unmet medical need.

We seek diverse perspectives as we pursue scientific innovation, and we expect all candidates to participate in maintaining our respectful and inclusive team. We encourage inquiries from those with a strong background in AI/ML who also have a keen interest in interdisciplinary application of computational approaches to life sciences data.

Responsibilities:

• Develop and apply deep learning methods to assess model trustworthiness and data fairness by employing techniques such as uncertainty quantification and explainable ML

• Establish workflows to accelerate hit discovery through active learning-guided synthesis and screening

• Integrate and implement approaches that enable closed-loop discovery cycles in collaboration with biologists, chemists, and modelers

• Contribute to the principled exploration of novel therapeutic modalities and their application to research portfolio

• Effectively communicate methods, results, and recommendations in multiple settings such as team and project meetings, seminars, academic conference, and journal publications

• Educate and mentor scientists across the organization on AI/ML methods

Basic Qualifications:

Bachelor’s Degree with 5+ years of academia / industry experience

Or

Master’s Degree with 3+ years of academia / industry experience

Or

Ph.D. and no years of experience

Preferred Qualifications:

• Ph.D. in computer science, cheminformatics, bioinformatics, or a related field

• Strong experience with modern deep learning methods; preferably with demonstrated application of models in the areas of active learning and explainable ML

• Expertise in scientific programming languages (e.g., Python, R) and machine learning libraries (e.g., PyTorch, Tensorflow)

• Proficiency in chemistry toolkits (e.g.: rdkit, OEChem, Schrodinger)

• Familiarity with cloud-based computing and Linux HPC environments

• Demonstrated ability to successfully collaborate with a diverse set of colleagues to develop implementations and apply machine learning techniques

• Excellent verbal and written communication skills

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/ (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.

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: R1580960

Updated: 2024-05-16 01:57:24.418 UTC

Location: Cambridge-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.