Senior Image Data Scientist-Center for Bioimage Informatics

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

1d•$86,320 - $154,960

About The Position

The Center for Bioimage Informatics at St. Jude 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. This 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. The successful candidate will support image data management, maintain analysis software and repositories, evaluate new methods and tools, and provide technical consultation and training to research teams. This role also serves as a project lead to coordinate image-analysis efforts, align related projects, and contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.

Requirements

Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required.
Minimum 3+ years of work experience in a relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering) required.
Experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
Experience in image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer 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 earlier role/comparable role.

Nice To Haves

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, including vision transformers, foundation models, generative AI, large language models (LLMs), 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, BioFormats, 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, such as leading multi-lab projects, contributing to shared infrastructure, publishing methods, or contributing to open-source scientific software.
Master's degree preferred.
Master's degree with 1+ years of relevant experience.

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 using modern image analysis, statistical, computer vision, and machine learning approaches.
Support image data management.
Maintain analysis software and repositories.
Evaluate new methods and tools.
Provide technical consultation and training to research teams.
Serve as a project lead to coordinate image-analysis efforts, align related projects, and contribute to shared CBI infrastructure.