Job description

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. About the r ole 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 About y ou Minimum Qualifications 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 What y ou’ll g et Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks. About u s 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. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the c ompany at any time.  Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.  The c ompany provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws.  Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers Rocket.com .

Requirements

Must-haves

About the r ole
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
About y ou
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

Nice-to-haves

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
What y ou’ll g et

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlaccessibilitypythongo

Platform: workday
Effort: long