Summer Research Assistant – Image Analysis & Digital Pathology

The Chronicle Of Higher Education, Inc.; Richmond (VA); On-site; USD 17,047 - 24,280; Part time

Benefits offered by this job

Wide array of employee benefits

Job summary

The Chronicle Of Higher Education, Inc. seeks an undergraduate research assistant for the School Of Medicine's Cellular and Genetic Medicine Department at VCU. The candidate will engage in computational pathology research, gaining hands-on experience and contributing to peer-reviewed studies.

This role includes developing machine learning models and working closely with faculty to analyze biomedical imaging data. A commitment of up to 25 hours per week, with flexible scheduling around classes, is essential.

Qualifications

• Experience in programming and machine learning or computer vision projects.
• Commitment to weekly hours throughout the semester.
• Ability to work professionally with diverse groups.

Responsibilities

• Develop, train, and evaluate models for biomedical image analysis.
• Implement digital pathology pipelines for WSI processing.
• Organize and annotate image datasets with expert coordination.
• Write clean, well-documented Python code.
• Maintain reproducible experiments using version control.
• Participate in lab meetings and present findings.

Skills

Programming (Python preferred)

Data structures

Machine learning or computer vision

Deep learning frameworks (PyTorch or TensorFlow)

Data curation and annotation

Education

Currently enrolled or completed Bachelor's in Computer Science or related

Tools

Git

Jupyter

PyTorch

TensorFlow

OpenCV

OpenSlide

QuPath

Job description

Advertising Summary:

Unit: School Of Medicine MBU

Department: Cellular and Genetic Medicine

Department Summary:

The Department of Cell, Molecular, and Genetics in Medicine (CMGM) at Virginia Commonwealth University is seeking a motivated undergraduate research assistant with a Computer Science background to support an active research program in computational and digital pathology. The student will work closely with faculty, postdoctoral researchers, and graduate students to develop and apply image analysis and machine learning pipelines on whole‑slide pathology images, immunohistochemistry, and other biomedical imaging datasets. This is an excellent opportunity for a CS undergraduate to gain hands‑on experience at the intersection of artificial intelligence and biomedical research and to contribute directly to ongoing peer‑reviewed studies.

Duties & Responsibilities

• Develop, train, and evaluate machine learning and deep learning models for biomedical image analysis tasks (classification, segmentation, object detection).
• Implement and adapt digital pathology pipelines for whole‑slide image (WSI) processing, including tiling, stain normalization, and feature extraction.
• Curate, organize, and annotate image datasets in coordination with pathologists and other domain experts.
• Write clean, well‑documented Python code using standard ML and computer vision libraries (PyTorch, TensorFlow, scikit‑learn, OpenCV, OpenSlide, QuPath).
• Maintain reproducible experiments using version control (Git) and notebook‑based workflows (Jupyter).
• Participate in lab meetings, present progress and findings, and assist in preparing figures and supplementary materials for manuscripts.
• Follow all data handling, privacy, and IRB guidance applicable to patient‑derived imaging data.

Qualifications

Minimum Qualifications

• Currently enrolled in (or recently completed) a Bachelor's degree program in Computer Science or a closely related discipline (Data Science, Computer Engineering, Applied Mathematics).
• Coursework or demonstrated project experience in programming (Python preferred), data structures, and at least one machine learning or computer vision course/project.
• Ability to commit consistent weekly hours throughout the semester.
• Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as an hourly employee at VCU.

Preferred Qualifications

• Hands‑on experience with deep learning frameworks (PyTorch or TensorFlow).
• Experienced in GPUs, HPC clusters, or cloud computing environments.
• Coursework or research experience in biology, bioinformatics, or biomedical engineering is a plus but not required.
• Strong academic standing (cumulative GPA 3.0 or higher).

Salary Range

15.00 per hour

Benefits

All VCU employee types are eligible for a wide array of benefits to support you during your employment at VCU. Consult the benefits website for information on benefits eligibility according to employee type.

FLSA Exemption Status

Non‑Exempt

Hours per Week

Up to 25 hours per week; flexible schedule Monday–Friday between 8:00 AM and 6:00 PM, arranged around the student’s course schedule.

Flexible Work Arrangement

Fully Onsite

Contact Information

Contact Email: [e-mail]