Senior Image Data Scientist-Center Bioimage Informatics

Overview

The Center for Bioimage Informatics e Children's Research Hospital is seeking a Senior Image Data Scientist to design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research. The role works closely with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians to translate scientific questions into reproducible, scalable analysis workflows using modern image analysis, statistical, computer vision, and machine learning approaches.

• Design, develop, validate, document, and operate image‑analysis pipelines and visualization solutions.
• Support image data management and maintain analysis software and repositories.
• Evaluate new methods and tools, and provide technical consultation and training to research teams.
• Serve as a project lead to coordinate image‑analysis efforts and align related projects.
• Contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.

Applicants are encouraged to include a brief cover letter or supplemental statement with a link to representative work, such as a public repository, napari plugin, published pipeline, or comparable artifact. The statement should briefly describe one end‑to‑end image‑analysis project or software tool the applicant has owned in production, including the biological or scientific question, data scale, methods or model used, pipeline design, validation approach, user adoption, and resulting impact.

• PhD in a relevant quantitative, computational, biomedical, or scientific field.
• Experience developing, validating, and maintaining image‑analysis pipelines for biological or medical imaging data.
• Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image‑analysis methods.
• Experience with emerging AI methods relevant to bioimage analysis (vision transformers, foundation models, generative AI, large language models, or agentic AI tools).
• Experience with scalable and reproducible scientific workflows (e.g., Snakemake, Nextflow), containers, version control, and HPC or cloud environments.
• Demonstrated experience using modern bioimaging tools, data standards, and open‑source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM‑family and related foundation segmentation models, QuPath, Bio Formats, OME‑Zarr/NGFF, or similar platforms.
• Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.
• Demonstrated 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 (leading multi‑lab projects, contributing to shared infrastructure, publishing methods, or contributing to open‑source scientific software).

• Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering, or related field (required).
• Master's degree preferred.

• 3+ years of work experience in a relevant area for a Bachelor's degree, or 1+ years of relevant experience for a Master's degree.
• Experience in image analysis, image data management, and programming (Python, R, Matlab, Java, C/C++).
• Experience in image analysis platforms (ImageJ/Fiji, Cell Profiler), scientific computing, scientific data visualization, code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
• Proven performance in an earlier or comparable role.

Estimated salary range for this role is $86,320 - $154,960 per year.

St. Jude is an Equal Opportunity Employer.