Scientist - Computational Image Analysis

We are seeking a motivated Scientist/Image Analyst with enthusiasm for biological applications of imaging to join our Computational Image Analysis. Our team pioneers rigorous analytical methods for image data in groundbreaking biopharmaceutical research, working collaboratively within Regeneron’s Imaging Sciences department and with diverse teams throughout the company. We hope you are excited by the opportunity to broaden your knowledge of computational approaches for image analysis and gain exposure to a variety of imaging modalities and biological concepts.

As a Scientist, a typical day may include:

• Working with various imaging modalities such as MRI, PET, CT, microscopy, digital pathology

• Applying third-party software and custom Python solutions to analyze and interpret biomedical images, learning new techniques as you navigate through different imaging modalities and biological applications

• Adhering to strong engineering practices, including code documentation and usage of version control, within a cloud computing environment

• Playing a crucial role in data annotation and quality control to ensure the integrity and reliability of our research data

• Actively participating in regular team meetings, presenting your findings and contributing to discussions on project progress, future directions, and timeline estimations

• Assisting in the preparation of internal data presentations, ensuring all findings are clearly communicated and documented

This role may be for you if:

• You have outstanding critical thinking, attention to detail, scientific rigor

• You have strong analytical, problem solving, and troubleshooting skills

• You have a demonstrated ability to work independently and collaboratively as part of a larger project

• 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, you must have at least a BS/MS with 5-7+ years of experience in Computer Science, Biomedical Engineering, Mathematics, or a similar related field. Must have proficiency in Python programming and fundamentals of computer science, and familiarity with data visualization tools and techniques. An ideal candidate would have experience analyzing biomedical imaging data using commercial and open source software tools (e.g. ImageJ, HALO, QuPath, CellProfiler, Imaris, Amira) and understanding of fundamental principles of image processing (e.g., image filtering, classic segmentation techniques, image registration). Understanding of mathematics relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, general machine learning, etc.) is preferred.

Level will be commensurate with experience.