Principal Scientist, Imaging AI

$129,000 - $177,100/Yr

Bristol-Myers Squibb - Brisbane, CA

Full-time - Senior

Remote - Brisbane, CA

Chemical Manufacturing

About the position

The Principal Scientist, Imaging AI at Bristol-Myers Squibb is a pivotal role within the Informatics and Predictive Sciences (IPS) organization, focusing on advancing the company's pipeline through innovative tissue-based image analysis. This position involves collaboration with various stakeholders to implement deep learning workflows for analyzing digital pathology slides, contributing to the development of cutting-edge AI methods, and enhancing imaging research infrastructure.

Responsibilities

• Hands-on implementation and use of pathology whole slide image analysis tools and technology.
• Collaboratively devise and execute research strategies that drive decision making in pre-clinical and clinical programs.
• Work alongside imaging scientists to manage, prepare and analyze pathology whole slide images to support translational research across multiple disease/therapeutic areas including oncology, immunology, and neuroscience.
• Active participation in identifying, testing and enabling use of pathology image management and analysis systems, tools, and technology.
• Coordinate stakeholders, guide/supervise junior researchers, often in a matrixed setting.
• Prepare and present findings from image analysis projects to other groups within BMS and externally at conferences/workshops.

Requirements

• Bachelor's Degree with 8+ years of academic/industry experience, or a Master's Degree with 6+ years of experience, or a PhD with 4+ years of experience in a relevant field.
• Proficiency in programming languages (Python, R, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.).
• 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.

Nice-to-haves

• Ph.D. in Biomedical Engineering, Computer Science, Bioinformatics, or related discipline; or M.S. with 3 or more years of related experience in a university pathology lab or pharmaceutical or biotech company.
• Experience with one or more digital pathology analysis software packages; including HALO, Visiopharm, QuPath and/or other image analysis platforms.
• Experience with high-performance & cloud computing, container strategies (e.g. Docker), developer tools and machine learning lifecycle management tools highly valued.
• Prior experience in developing deep-learning based image analysis workflows for hematoxylin & eosin (H&E), chromogenic immunochemistry (IHC), and multiplexed immunofluorescence (mIF) images preferred.

Benefits

• Dental insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Life insurance
• Military leave
• Paid holidays