Senior Image Analysis Software Engineer, NGNRI

The Senior Image Analysis Software Engineer is responsible for designing, developing, and deploying advanced image analysis solutions that support high-content microscopy screening and translational research initiatives. This role combines software engineering, artificial intelligence, machine learning, and scientific computing expertise to transform large-scale imaging data into actionable biological insights. Working closely with scientists, researchers, and digital technology teams, the incumbent develops scalable analysis pipelines, advances computational imaging capabilities, and enables data-driven discovery across the organization’s research programs., * Design, develop, and maintain AI/ML-powered image analysis software supporting high-content microscopy and imaging platforms

• Develop and optimize deep learning and image analysis algorithms for image segmentation, feature extraction, classification, and phenotypic analysis
• Build and support scalable, high-throughput computational pipelines capable of processing large imaging datasets
• Establish and maintain software quality standards through validation, testing, documentation, version control, and reproducible development practices
• Collaborate with scientists, researchers, and technology teams to understand research objectives and translate scientific requirements into technical solutions
• Support imaging data management, metadata standards, and long-term data accessibility and integrity in alignment with FAIR data principles
• Evaluate emerging technologies, frameworks, and methodologies in image analysis, machine learning, and computational imaging to drive continuous innovation
• Mentor junior engineers and contribute to a collaborative technical environment that promotes knowledge sharing and best practices
• Assist with scientific communication activities, including research publications, presentations, and internal knowledge sharing
• Contribute to the advancement of the organization’s digital research ecosystem and image analysis capabilities

Software Engineering, Analysis Software, Image Editors, Software Engineering, Translational Research, Microscopy, Machine Learning, Scalable System Development, Analysis Skills, Analysis Software, * 4 years of scientific software development experience in an academic, research, or industry environment

• 2 years of experience developing image analysis algorithms and computational workflows
• Demonstrated expertise in Python software development
• Experience designing, training, and deploying deep learning models using PyTorch
• Experience working with large-scale datasets and scalable computational pipelines
• Experience with version control and collaborative software development practices
• Strong communication skills with the ability to collaborate effectively with scientists and technical stakeholders
• M.S. degree in Computer Science, Computational Biology, Bioinformatics, Data Science, or a related field

Preferred Qualifications

• Ph.D. in Computer Science, Computational Biology, or a related discipline
• Experience with 3D imaging, organoid imaging, or microscopy-based image analysis
• Familiarity with bioimage analysis platforms and tools such as OMERO, CellProfiler, Fiji/ImageJ, scikit-image, napari, or OME-Zarr
• Experience deploying software solutions within HPC, cloud, or containerized environments
• Participation in open-source scientific computing or bioimage communities
• Exposure to generative AI applications in scientific imaging

The Nick Gilbert Neurofibromatosis Research Institute (NGNRI) is a nonprofit organization focused on developing treatments and cures for Neurofibromatosis type 1 (NF1) and other neurological disorders and cancers with significant unmet need. Backed by the Gilbert Family Foundation and created in partnership with Michigan State University (MSU) and Henry Ford Health (HFH), NGNRI brings together leading scientific and clinical expertise to accelerate translational discovery.

Located within a new, state-of-the-art research facility in midtown Detroit, NGNRI offers a highly collaborative environment alongside MSU and HFH. The institute is equipped with advanced platforms-including organoid and stem cell models, AI-driven analysis, FACS, and CRISPR technologies-and provides access to extensive shared core facilities.

NGNRI supports both in-house researchers and visiting scientists, creating a dynamic, mission-driven ecosystem designed to advance innovation and deliver impact in an underserved field. As part of Detroit’s rapidly growing medical research campus, NGNRI offers a unique opportunity to contribute to cutting-edge science within a vibrant and expanding hub.