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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.
Principal Machine Learning Engineer, Imaging AI
Job Description
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 be responsible for designing and leading the implementation of 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. If you are not sure if your profile fits, but are intrigued by the position, we very much encourage you to apply.
Responsibilities
- Collaboratively design and build an integrated ecosystem of resources for imaging research
- Contribute to the development, deployment, and integration of new machine learning models
- Design and 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).
- 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 in Computer Science, AI or a related discipline and 8+ years of academic / industry experience
- OR Master's Degree in Computer Science, AI or a related discipline and 6+ years of academic / industry experience
- OR PhD in Computer Science, AI or a related discipline and 4+ years of academic / industry experience
Preferred Qualifications
- PhD (or MSc with 4+ years experience) in Computer Science, AI or a related discipline
- Strong proficiency in programming languages (Python, R, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.).
- Proficiency in building and deploying machine learning models (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in 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.
- Strong problem-solving skills through rigorous and creative thinking.
- Excellent 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).
The starting compensation for this job is a range from $129,000 to $177,100, 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.
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