{"id":3026179,"url":"https://alion.io/job/rocket-companies-senior-image-analysis-software-engineer-ngnri","title":"Senior Image Analysis Software Engineer, NGNRI","company":{"id":1967610,"name":"Rocket Companies","domain":"rocket.com","url":"https://alion.io/company/rocket-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":109,"ghost_share":0,"stale_share":0.917,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Detroit, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Image Segmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"CRISPR","optional":true},{"name":"Flow Cytometry","optional":true},{"name":"HPC","optional":true},{"name":"scikit-image","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-11-01T18:17:37Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"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.\nAbout therole\nDesign, develop, and maintain AI/ML-powered image analysis software supporting high-content microscopy and imaging platforms\n\nDevelop and optimize deep learning and image analysis algorithms for image segmentation, feature extraction, classification, and phenotypic analysis\n\nBuild and support scalable, high-throughput computational pipelines capable of processing large imaging datasets\n\nEstablish and maintain software quality standards through validation, testing, documentation, version control, and reproducible development practices\n\nCollaborate with scientists, researchers, and technology teams to understand research objectives and translate scientific requirements into technical solutions\n\nSupport imaging data management, metadata standards, and long-term data accessibility and integrity in alignment with FAIR data principles\n\nEvaluate emerging technologies, frameworks, and methodologies in image analysis, machine learning, and computational imaging to drive continuous innovation\n\nMentor junior engineers and contribute to a collaborative technical environment that promotes knowledge sharing and best practices\n\nAssist with scientific communication activities, including research publications, presentations, and internal knowledge sharing\n\nContribute to the advancement of the organization's digital research ecosystem and image analysis capabilities\n\nAboutyou\nMinimum Qualifications\n4 years of scientific software development experience in an academic, research, or industry environment\n\n2 years of experience developing image analysis algorithms and computational workflows\n\nDemonstrated expertise in Python software development\n\nExperience designing, training, and deploying deep learning models using PyTorch\n\nExperience working with large-scale datasets and scalable computational pipelines\n\nExperience with version control and collaborative software development practices\n\nStrong communication skills with the ability to collaborate effectively with scientists and technical stakeholders\n\nM.S. degree in Computer Science, Computational Biology, Bioinformatics, Data Science, or a related field\n\nPreferred Qualifications\nPh.D. in Computer Science, Computational Biology, or a related discipline\n\nExperience with 3D imaging, organoid imaging, or microscopy-based image analysis\n\nFamiliarity with bioimage analysis platforms and tools such as OMERO, CellProfiler, Fiji/ImageJ, scikit-image, napari, or OME-Zarr\n\nExperience deploying software solutions within HPC, cloud, or containerized environments\n\nParticipation in open-source scientific computing or bioimage communities\n\nExposure to generative AI applications in scientific imaging\n\nWhatyou’llget\nOur team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto 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’vegot your back. Check out our full list ofBenefits and Perks.\nAboutus\nThe 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 clinicalexpertiseto accelerate translational discovery.\nLocated within a new,state-of-the-artresearch 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.\nNGNRI 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 tocutting-edgescience within a vibrant and expanding hub.\nThis job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany 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. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. 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