Senior Image Data Scientist-Center for Bioimage Informatics
About The Position
The Center for Bioimage Informatics at St. Jude Children’s Research Hospital is hiring two Senior Image Data Scientists to design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research. The role collaborates with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians to translate scientific questions into reproducible, scalable workflows using image analysis, statistics, computer vision, and machine learning. The successful candidate will support image data management; maintain analysis software and repositories; evaluate methods and tools; and provide technical consultation and training to research teams. The role also leads projects to coordinate image-analysis efforts, align related projects, and contribute to shared Center for Bioimage Informatics infrastructure for routine and advanced bioimage analysis. Applicants are encouraged to include a brief cover letter or supplemental statement linking to representative work, such as a public repository, napari plugin, published pipeline, or comparable artifact. The statement should describe an end-to-end image-analysis project or production software tool they owned, including its scientific question, data scale, methods or model, pipeline design, validation, user adoption, and impact.
Requirements
- Bachelor’s degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering, or a related field.
- At least 3 years of relevant work experience with a bachelor’s degree, or at least 1 year of relevant experience with a master’s degree.
- Experience in image analysis, image data management, and programming; examples include Python, R, Matlab, Java, and C/C++.
- Proven performance in an earlier or comparable role.
Nice To Haves
- PhD in a relevant quantitative, computational, biomedical, or scientific field.
- Master’s degree.
- Experience developing, validating, and maintaining image-analysis pipelines for biological or medical imaging data.
- Strong Python programming skills and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods.
- Experience with emerging AI methods relevant to bioimage analysis, including vision transformers, foundation models, generative AI, large language models, or agentic AI tools.
- Experience with scalable, reproducible scientific workflows such as Snakemake or Nextflow; containers; version control; and HPC or cloud environments.
- Experience with bioimaging tools, data standards, and open-source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM-family and related foundation segmentation models, QuPath, BioFormats, or OME-Zarr/NGFF.
- Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.
- Ability to collaborate with research teams, communicate technical results clearly, write user-facing documentation, and provide training through courses, workshops, seminars, or similar formats.
- Evidence of technical leadership, such as leading multi-lab projects, contributing to shared infrastructure, publishing methods, or contributing to open-source scientific software.
- Experience with image-analysis platforms such as ImageJ/Fiji or CellProfiler; scientific computing and data visualization; scientific code optimization and evaluation in an HPC environment; and development of algorithms, statistical methods, or scientific software.
- Experience working with large image data volumes and biological or medical imaging.
Responsibilities
- Design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research.
- Translate scientific questions into reproducible, scalable analysis workflows in collaboration with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians.
- Support image data management.
- Maintain image-analysis software and repositories.
- Evaluate new methods and tools.
- Provide technical consultation and training to research teams.
- Lead and coordinate image-analysis efforts, align related projects, and contribute to shared bioimage-analysis infrastructure.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
