Bristol Myers Squibb Scientist, Digital Pathology, Translational Bioinformatics in Cambridge, Massachusetts
At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.
We are seeking a highly motivated research scientist with extensive experience in image analysis and feature extraction of H&E and/or immunohistochemistry (IHC) stains to join our Digital Pathology team in the Translational Bioinformatics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibb’s industry-leading pipeline, within the Immuno-Oncology space, through the strategic application of cutting-edge pathology image analysis and bioinformatics approaches. The group 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 pathology image analysis software in the quantification of IHC staining expression, including tumor/stroma classification and cellular feature extraction. The candidate should be able to perform statistical analyses and data visualization using data analysis packages such as R, Python, and/or MATLAB.
Hands-on implementation/support of pathology whole slide image analysis tools and technology.
Collaborate with pathologists and biomarker scientists to design experiments which leverage pathology image data to support early- and late-stage clinical drug development
Working alongside image scientists in the digital pathology group to manage, prepare and analyze pathology whole slide images to support Immuno-Oncology and other disease areas.
Manage project scope and deliverables with digital pathology related external vendors and strategic collaborations with academic institutions.
Design and perform bioinformatics analyses and data visualization, including analytics associating image analysis features with response and survival data 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.
PhD in Biomedical Engineering, Bioinformatics, Computer Science or related discipline; or M.S. with 3 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, Definiens, Inform and/or Aperio Image Analysis.
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.
Prior experience in developing image analysis algorithms in feature extraction of tumor, stroma, and various cell types through stains and morphometric features is desired.
Prior experience with applying machine learning and/or deep learning tools for medical imaging tasks is preferred
Has developed and deployed image analysis workflows for capture, organization and storage in a GLP-like environment.
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
Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization.
Track record of scientific leadership exemplified by first author peer-reviewed publications ideally related to pathology image analysis
Previous experience working in oncology is preferred
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
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.
Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or any part of the recruitment process direct your inquiries to firstname.lastname@example.org. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Company: Bristol Myers Squibb
Req Number: R1541277
Updated: 2021-06-14 02:57:01.026 UTC
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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