Machine Learning Engineer, Imaging AI (Bristol Myers Squibb)

Job Description

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.

Machine Learning Engineer, Imaging AI

Job Description

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 engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. This team of computational scientists is responsible for advancing Bristol Myers Squibb’s industry-leading pipeline through development and application of cutting-edge tissue-based image analysis approaches, often in multi-modal context (e.g. spatial transcriptomics, combining different imaging modalities or imaging with molecular data).

We collaborate with various internal stakeholders, including pathologists, biologists, and other computational scientists to understand disease biology and contribute to the development of novel treatments. The team impacts all aspects of R&D at BMS, from early discovery through late-stage development. The successful candidate will contribute to designing and implementing our data and compute infrastructure, in close collaboration with Research IT and other IPS researchers. The infrastructure englobes high-performance compute for in-house model training, commercial solutions, and resources provided by external partners.  

This position would suit a researcher in imaging AI with experience in infrastructure, or an engineer with interest in AI research in a biomedical context.

Responsibilities

• Contribute to design and build an integrated ecosystem of resources for imaging research.
• Participate in the development, deployment, and integration of new machine learning models.
• Implement robust and efficient data pipelines for ingesting, processing, and cleaning large pathology and cellular imaging datasets (e.g., whole-slide histology images, image annotations, slide/patient-level metadata, clinical endpoints).
• Integrate the output of machine learning algorithms into digital pathology visualization frameworks (Halo and Concentriq).
• Develop & maintain databases to catalog AI models, annotations, and metadata
• Communicate technical findings effectively to scientific and non-technical audiences through presentations, reports, and documentation.

Basic Qualifications:

• Bachelor's Degree 7+ years of academic / industry experience
• Or Master's Degree 5+ years of academic / industry experience
• Or PhD 2+ years of academic / industry experience

Preferred Qualifications:

• PhD and 2 + (or MSc with 5+ years experience) in Computer Science, AI or a related discipline
• Proficiency in programming languages (Python, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.).
• Experience building and deploying machine learning models (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with container strategies such as Docker, ECS, and ECR.
• Experience with machine learning lifecycle management tools (e.g., MLflow and WandB) is a plus.
• Experience with cloud platforms (AWS, Azure, etc) is a plus.
• Prior experience with developing machine learning pipelines for histological and/or cellular imaging tasks is preferred.
• Problem-solving skills through rigorous and creative thinking.
• Strong written and oral communication skills, including an ability to collaborate effectively with a wide variety of stakeholders.
• Ability to work both independently and collaboratively while balancing several concurrent, fast-paced projects.

This is an on-site position, with flexibility of 50% remote work, based at any of BMS’ research sites: Cambridge (MA), Lawrenceville (NJ), Seattle (WA), San Diego (CA), Brisbane (CA), or Seville, Spain.

The starting compensation for this job is a range from $109,000 - 150,700, plus incentive cash and stock opportunities (based on eligibility). The starting pay takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation is decided based on demonstrated experience. For more on benefits, please visit our BMS Careers site. Eligibility for specific benefits listed in our careers site may vary based on the job and location.

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 to adastaffingsupport@bms.com. 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: 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.