Senior Image Analysis Software Engineer, NGNRI

Rocket Companies•Detroit, MI

5d•Onsite

About The Position

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.

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 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

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