Bristol Myers Squibb
Machine Learning Engineer, Imaging AI
Bristol Myers Squibb, San Diego, California, United States, 92189
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.Machine Learning Engineer, Imaging AI
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.
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.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 experienceOr Master's Degree 5+ years of academic / industry experienceOr PhD 2+ years of academic / industry experiencePreferred Qualifications:
PhD and 2+ (or MSc with 5+ years experience) in Computer Science, AI or a related disciplineProficiency 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.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.
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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.Machine Learning Engineer, Imaging AI
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.
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.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 experienceOr Master's Degree 5+ years of academic / industry experienceOr PhD 2+ years of academic / industry experiencePreferred Qualifications:
PhD and 2+ (or MSc with 5+ years experience) in Computer Science, AI or a related disciplineProficiency 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.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.
#J-18808-Ljbffr