Principal Scientist - Machine Learning and AI - Bristol Myers Squibb

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.

We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. This team of computational imaging scientists is responsible for advancing Bristol-Myers Squibb’s industry-leading pipeline through the strategic application of cutting-edge tissue-based image analysis and bioinformatics approaches. The team collaborates with various internal stakeholders, including pathologists, biologists, and other bioinformaticians to understand mechanism of action (MoA) and identify novel tissue-based biomarkers. The team interacts with and impacts all aspects of R&D at BMS, from early discovery through late-stage development. The successful candidate will be responsible for developing and implementing advanced AI algorithms to analyze digital pathology whole slide images, contributing to breakthroughs in novel biomarker discovery and precision medicine.

Responsibilities

• Design, develop, and validate advanced machine learning-powered image analysis algorithms for quantitative histopathology.
• Manage, process, and analyze large pathology datasets (internal and public), ensuring data quality and integrity.
• Collaborate with pathologists and other scientists to understand clinical biomarker needs and integrate learnings into algorithm development.
• Keep up to date on the latest development in AI and machine learning, applying innovative techniques to improve algorithm accuracy and efficiency.
• Implement and monitor quality control processes for AI model performance.
• Document algorithm development processes and report on project progress and outcomes.

Basic Qualifications:

• Bachelor's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 8+ years of academic / industry experience
• or Master's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 6+ years of academic / industry experience
• or PhD in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 4+ years of academic / industry experience

Preferred Qualifications:

• Advanced degree (PhD preferred) in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; 3 or more years of related experience in a university pathology lab or a biopharma company.
• Proficient in machine learning, deep learning, computer vision, and image processing techniques.
• Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.)
• Strong analytical skills with the ability to interpret complex data and translate findings into actionable insights through statistical analysis and visualization.
• Prior experience in morphometric feature extraction across various tissue patterns, cell types, and stainis desired.
• Prior experience with applying machine learning and/or deep learning tools for medical and/or cellular imaging tasks is preferred.
• Familiarity with complementary bioinformatics analysis techniques and data such as survival analysis, RNA and/or genomic sequencing measurements is a strong plus.
• Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
• Experience with machine learning lifecycle management tools (e.g., MLflow) is a plus.
• Strong problem-solving and collaboration skills, and rigorous and creative thinking
• Excellent written and oral communication skills, including an ability to collaborate effectively with lab scientists and pathologists and to present coherently and concisely.
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
• Track record of scientific leadership exemplified by first author peer-reviewed publications ideally related to pathology image analysis.

The starting compensation for this job is a range from $121,000 - $167,200, 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 Career Site. 

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.

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 toadastaffingsupport@bms.com. Visitcareers.bms.com/eeo-accessibilityto 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.