Senior Computational Research Scientist - Department of Imaging Sciences

St. Jude Children's Research Hospital•Memphis, TN

3d•$104,000 - $186,160•Onsite

About The Position

The Manor Laboratory at St. Jude Children’s Research Hospital is seeking 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. This role involves providing technical leadership across the laboratory’s computational imaging portfolio and translating advanced imaging data into validated biological measurements and research tools. The position spans various microscopy techniques and applications, including sensory-organ structure and pathology, cellular and organelle dynamics, and dense reconstruction of biological tissue. It combines independent algorithm development, scientific software engineering, collaborative research, and technical mentorship, and is not limited to a specific disease, imaging modality, or biological system.

Requirements

Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
7+ years of relevant experience with a Bachelor's degree.
OR 5+ years of relevant experience with a Master's degree.
OR 2+ years of relevant experience with a PhD.
Prior experience in computational research techniques and processes.
Proven performance in earlier role/comparable role.

Nice To Haves

A Ph.D. in computer science, computer engineering, electrical engineering, biomedical engineering, applied mathematics, or a closely related quantitative field.
Demonstrated independent development and validation of machine-learning or computer-vision methods for biomedical images, supported by publications, deployed software, or comparable research outputs.
Strong Python programming and experience with a major deep-learning framework such as PyTorch or TensorFlow.
Experience with MATLAB, C++, GPU computing, or parallel processing.
Experience with 3D/4D microscopy, multichannel or multimodal imaging, segmentation, tracking, image restoration, or quantitative phenotyping.
Experience with electron microscopy, sparse annotations, or large volumetric datasets.
Ability to translate research prototypes into usable software, with experience in dataset curation, version control, testing, documentation, and reproducible workflows.
Experience with Napari or other interactive scientific analysis interfaces.
Effective interdisciplinary communication, collaborative problem-solving, and experience mentoring researchers or teaching computational methods.
Familiarity with cell biology, sensory neuroscience, organelle biology, spatial biology, or related biomedical applications.

Responsibilities

Guide computational imaging strategy by partnering with the principal investigator to prioritize and execute computer-vision and quantitative image-analysis projects, translating biological questions into computational objectives and plans.
Develop and validate AI methods for segmentation, classification, detection, tracking, image reconstruction and restoration, denoising, virtual staining, resolution enhancement, and quantitative phenotyping, applying various neural network architectures and models.
Translate imaging data into biological insight by developing quantitative analyses of multichannel 3D sensory-organ images and time-resolved cellular and organelle dynamics, and advancing dense 3D segmentation and reconstruction of serial-section electron-microscopy data.
Build reliable software, datasets, and analysis platforms by leading end-to-end workflows from annotation strategy to model deployment and maintenance, developing documented and tested software, and optimizing workflows for large datasets and parallel computing.
Mentor researchers and disseminate methods by providing technical guidance and mentorship to students, postdocs, and collaborators, advising on experimental design and computational methods, developing training materials, and contributing to publications and presentations.