Senior Scientist, Image Analysis

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.

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We are seeking a highly motivated scientist with extensive research experience in image analysis and feature extraction of H&E and/or immunohistochemistry (IHC) stains to join our Computational Tissue Imaging Research team in the Translational Bioinformatics group. This group of computational 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 biomarker. The team interacts with and impacts all aspects of R&D at BMS, from early discovery through late-stage development. The successful candidate must have experience in utilizing off-the-shelf image analysis platforms to aid in the quantification of IHC staining expression, including tissue histology classifications and cellular feature engineering & quantification. The candidate should be able to perform statistical analyses and data visualization using data analysis packages such as R, Python, and/or MATLAB. 

Responsibilities 

• Hands-on implementation/support of pathology whole slide image analysis tools and technology. 

• Work alongside image scientists in the digital pathology group to manage, prepare and analyze pathology whole slide images to support translational research across multiple disease/therapeutic areas including oncology, immunology, and neuroscience. 

• Manage project scope and deliverables with digital pathology related external vendors and strategic collaborations with academic institutions. 

• Collaborate with biology and pathology colleagues to define analysis plans and derive features for analysis. 

• Perform bioinformatics analyses and data visualization, including analytics associating image analysis features with response and survival data, genetic features and other sample attributes using cox regression models, hypothesis testing, ROC analysis, and other statistical tools. 

• Active participation in the testing of pathology image management and analysis systems, tools, and technology. 

• Prepare and present findings from image analysis projects to other groups within BMS. 

• Collaborate with other image scientists to propose, review, and finalize future image analysis algorithm development and project work. 

Basic Qualifications: 

• Bachelor's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 7+ years of academic / industry experience
• or Master's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 5+ years of academic / industry experience
• or PhD in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 2+ years of academic / industry experience

Preferred Qualifications:

• Ph.D. in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; or M.S. with 2 or more years of related experience in a university pathology lab or pharmaceutical or biotech company. 

• Fluent in one or more digital pathology analysis software packages; including HALO, Visiopharm, QuPath and/or other image analysis platforms. 

• Preference for prior experience working within the biotech/pharma industry, processing and analyzing digitized pathology whole slide pathology images. 

• Excellent programming skills in one or more analytics packages such as R, Python and/or MATLAB. 

• Knowledge of various digital imaging scanner and/or experience imaging chromogen and fluorescent stains is desired. 

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