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.

About the role 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 you

Minimum Qualifications 4 years of scientific software development experience in an academic, research, or industry environment2 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 Py Torch 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 stakeholdersM.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, Cell Profiler, 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 you’ll get 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.

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