Senior Data Scientist, AI​/ML, Medical Imaging

Overview

Our Company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Our Company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Company is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Our Company's Research and Development Division is a true scientific research facility of tomorrow and will take our Company's leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

• Provide data analytic solutions for medical imaging and computer vision analysis
• Apply sound scientific principles and data analytic methods to Pharmaceutical Research and Development (R&D) projects
• Understand customer requests and effectively communicate analysis results to customers

• Serve as clinical digital pathology data analytic representative in cross-functional teams for pharmaceutical R&D
• Collaborate with people from diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.
• Identify opportunities to add value to different phase of pharmaceutical R&D projects
• Identify potential data and data-analysis related problems, propose solutions, and implement them
• Analyze data and interpret results
• Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports
• Provide responses to data and analysis related queries from research scientists, clinical scientists, and regulatory agencies
• Engage in AI/ML and statistical methodology research

• PhD in Computer Science, Biomedical Engineering, Computational Pathology, or related field with focus on medical imaging and computational biology OR
• Master's degree with a minimum of 4 years of relevant work experience

• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers, attention mechanisms) for histopathology image analysis, including experience with multi-scale patch-based learning and gigapixel image processing
• Proven track record with digital pathology workflows including H&E, IHC, multiplex immunofluorescence analysis, and hands-on experience with whole slide imaging formats (SVS, TIFF), annotation tools, and pathology imaging standards (DICOM-WSI)
• Strong programming skills in Python with expertise in PyTorch/Tensor Flow, medical imaging libraries (Open Slide, Pillow), and experience with annotation platforms and pathology-specific ML frameworks
• Demonstrated interest in methodology research and the application of novel methods to real-world problems
• Ability to learn, be proactive and motivated, and consistently focus on details and prompt execution
• Ability to collaborate with scientists and work effectively on multidisciplinary teams

BARDS
2020

eligibleforERP

Animal Vaccination, Biodesign, Biomedical Engineering, Computational Biology, Computer Science, Data Analysis, Data Management, Data Science, Disease Prevention, Immunofluorescence Microscopy, Machine Learning (ML), Medical Imaging, Numerical Analysis, Pharmaceutical Development, Pharmaceutical Research, R&D Engineering, Regulatory Compliance, Scientific Modeling, Veterinary Medicine, Waterfall Model

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