Want to know if this job is worth applying to?
Memphis, Tennessee, United States
Onsite
The Manor Laboratory seeks an experienced computational imaging professional to develop and apply artificial intelligence, computer vision, and quantitative image analysis to challenging questions in cell biology and biomedical research. Working closely with Dr. Uri Manor, experimental scientists, and collaborators, this individual will provide technical leadership across the laboratory’s computational imaging portfolio and translate advanced imaging data into validated biological measurements and broadly usable research tools.
The position spans fluorescence, label-free, live-cell, three- and four-dimensional (3D/4D), and electron microscopy. Applications include sensory-organ structure and pathology, cellular and organelle dynamics, and dense reconstruction of biological tissue. The role combines independent algorithm development, end-to-end scientific software engineering, collaborative research, and technical mentorship; it is not restricted to one disease, imaging modality, or biological system.
Partner with the principal investigator to prioritize and execute computer-vision and quantitative image-analysis projects across the laboratory. Translate biological questions into computational objectives, technical plans, and measurable deliverables. Establish reusable architectures, evaluation standards, and best practices that support consistent, reproducible analysis across imaging modalities and research programs.
Design, implement, and benchmark methods for segmentation, classification, detection, tracking, image reconstruction and restoration, denoising, virtual staining, resolution enhancement, and quantitative phenotyping. Apply appropriate approaches, including convolutional and recurrent neural networks, Transformers, multimodal learning, generative models, and vision-language models. Evaluate performance on independent data, assess failure modes and generalizability, and verify that image transformations preserve biologically meaningful information.
Develop quantitative analyses of multichannel 3D sensory-organ images and time-resolved cellular and organelle dynamics. Advance dense 3D segmentation and reconstruction of serial-section electron-microscopy data, including approaches that learn from sparse two-dimensional annotations. Work with experimental collaborators to connect computational outputs to interpretable measurements, rigorous biological conclusions, publications, and reusable research resources.
Lead end-to-end workflows spanning annotation strategy, dataset curation, model training, validation, deployment, and maintenance. Develop documented, tested, version-controlled software, including interactive desktop plugins and web-based analysis tools where appropriate. Optimize workflows for large, multidimensional datasets and GPU or parallel computing. Expand annotated resources, support generalizable models, and collaborate with institutional and external partners to make tools accessible, maintainable, and useful to researchers.
Provide technical guidance and mentorship to students, postdoctoral fellows, staff, and collaborators developing or applying AI tools. Advise on experimental design, data preparation, annotation, model selection, code development, validation, interpretation, and reproducibility. Develop training materials, lead hands-on instruction, and support adoption of shared tools. Contribute to manuscripts, grant applications, scientific presentations, and collaborative methods development while fostering a supportive, interdisciplinary research environment.
Minimum Education Requirements:
Minimum Experience Requirements:
Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Computational Research Scientist - Department of Imaging Sciences.Explore our exceptional benefits!
We are committed to a human-centered hiring experience. Technology may support portions of our process, but recruiting decisions involve human review and engagement. Learn more about our approach to AI.
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.