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Computer Vision Research Assistant Jobs in Tennessee

M3USA

Clinical Research Coordinator

Chattanooga, TN · On-site

$22 - $29.25/hr

Collecting and entering data as necessary * Assist management with potential new hire selection and ... Vision insurance *M3 reserves the right to change this to meet the business needs of the ...

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Computer Vision Research Assistant information

What are the key skills and qualifications needed to thrive as a Computer Vision Research Assistant, and why are they important?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are Computer Vision Research Assistants?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What are the typical projects and daily tasks for a Computer Vision Research Assistant?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.
What are the most commonly searched types of Computer Vision Research jobs in Tennessee? The most popular types of Computer Vision Research jobs in Tennessee are:
What are popular job titles related to Computer Vision Research Assistant jobs in Tennessee? For Computer Vision Research Assistant jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Computer Vision Research Assistant jobs in Tennessee look for? The top searched job categories for Computer Vision Research Assistant jobs in Tennessee are:
What cities in Tennessee are hiring for Computer Vision Research Assistant jobs? Cities in Tennessee with the most Computer Vision Research Assistant job openings:
Computer Vision Research Assistant jobs near you
Infographic showing various Computer Vision Research Assistant job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Senior Image Data Scientist-Center for Bioimage Informatics

Senior Image Data Scientist-Center for Bioimage Informatics

St. Jude Children's Research Hospital

Memphis, TN • On-site

$86K - $154K/yr

Full-time

Posted yesterday

St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

65th of 1,020 rated hospitals

Job description

The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking two Senior Image Data Scientists 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 approache
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.
Applicant Statement:
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.
Preferred Qualifications:
  • 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.

Minimum Education and/or Training:
  • Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree with 3+ years of work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering) required.
  • Experience Exception: Master's degree with 1+ years of relevant experience.
  • 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.

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 $86,320 - $154,960 per year for the role of Senior Image Data Scientist-Center for Bioimage Informatics.
Explore our exceptional benefits!
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.

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