Principal Scientist, Computational Image Analysis Full-time

Principal Scientist, Computational Image Analysis

The Computational Image Analysis team is seeking a motivated data scientist who is passionate about biological applications of imaging. Our team develops rigorous analytical methods for image quantification to support cutting-edge biopharmaceutical research, working collaboratively within Regeneron's Imaging Sciences department and with diverse teams throughout the company.

We are hiring a Principal Scientist to architect high-impact, deep learning-powered image processing pipelines, deliver validated quantitative results, and contribute to data management strategy for imaging datasets of multiple modalities. Working at the intersection of science and technology, you'll build cross-functional relationships with researchers across therapeutic areas and coordinate with IT partners to enhance research capabilities.

In this role, a typical day may include:

• Defining quantitative imaging endpoints and biomarkers to meet the experimental goals of our collaborators
• Leading development and validation of image processing pipelines to analyze biomedical images of various modalities, including microscopy, histology, ultrasound, PET/CT, and MRI
• Executing image analysis workflows to generate quantitative results and creating advanced visualizations to facilitate interpretation
• Preparing deliverables to disseminate analytical results, ensuring methods and findings are clearly communicated and documented
• Playing a crucial role in data annotation and quality control to ensure the integrity and reliability of our research data
• Actively participating in cross-functional meetings, including presentation of analytical plans, methods, and results
• Contributing to data management efforts, guided by FAIR principles, to maintain data integrity and accelerate scientific insights

This role may be for you if:

• You have outstanding critical thinking, attention to detail, scientific rigor, and strong analytical, problem solving, and troubleshooting skills
• You have a demonstrated ability to work independently and collaboratively as part of a larger project
• You are a highly effective communicator who can interface with both biologists and IT professionals to translate scientific needs into analytical endpoints
• You have a positive demeanor and willingness to grow, learn, and adapt in a fast-paced research environment
• You have a passion for biology, and a dedication to share, collaborate, and lift up others

To be considered for this role candidates must hold an advanced degree in Computer Science, Biomedical Engineering, Mathematics, or a related field (PhD with 6+ years of relevant work experience). Candidates should demonstrate the ability to understand scientific questions in the context of drug development. Proficiency in Python programming and a solid understanding of computer science fundamentals is required, including experience with version control and AI coding assistants such as Claude Code. They should possess a strong understanding of modern image processing principles, including deep learning-based approaches. Expertise in mathematics relevant to quantitative image analysis (e.g., optimization, regression, statistics, signal processing, cluster analysis, machine learning) is highly desirable. Experience developing custom analysis pipelines in an enterprise AI platform such as Dataiku and knowledge of distributed computing frameworks (e.g., PySpark) is preferred. The ideal candidate will have familiarity with a range of third-party software tools for biomedical image analysis (e.g., HALO, Imaris, 3D Slicer). Familiarity with data annotation workflows (e.g., using v7 Darwin), data management platforms (e.g., PathCore, HALO Link, Flywheel), and relevant APIs/CLIs are preferred.