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.

Responsibilities

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

Requirements

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

Nice to have

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

Benefits

Premium health insurance plans; disability and life insurance; no-cost mental health support; free fitness and nutrition programs; Exclusive mortgage pricing and down payment assistance; 15% discounted stock purchase plan; flexible spending accounts; 401(k) matching; Fully funded educational opportunities; tuition reimbursement; scholarship programs