Job Details  

Laboratory Assistant
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Job ID 73839
Job Funding Source Work-Study
Employer Cell and Development Biology, Department of
Category Technical
Job Description

The student will be responsible for optimizing an AI-based tool to assist in the annotation of large-scale biomedical images. They will also contribute to the development of an automated fluidic delivery system using Raspberry Pi and 3D printing technologies, with potential integration of AI-based supervision. Additional responsibilities include mentoring high school students engaged in remote research projects with our lab, as well as performing other duties as assigned.
Educational Value

This position provides a rich interdisciplinary learning experience at the intersection of artificial intelligence, biomedical imaging, and engineering. The student will gain hands-on experience in:

AI Tool Development: Enhancing an AI-based platform for large-scale biomedical image annotation fosters skills in machine learning, computer vision, and algorithm optimization.

Hardware and Systems Engineering: Designing an automated fluidic delivery system using Raspberry Pi and 3D printing promotes applied knowledge in embedded systems, prototyping, and automation.

Mentorship and Communication: By supervising high school students remotely, the student will develop leadership, teaching, and science communication skills.

Collaborative Research Environment: Exposure to real-world research workflows within a lab setting, promoting teamwork and interdisciplinary problem-solving.

Overall, this role is ideal for a student seeking practical experience in computational biology, biomedical engineering, and applied computer science, particularly in a collaborative and educational research environment.
Job Requirements

Excellent written and verbal communication skills, as well as interpersonal skills contributing to a strong team environment, are required. Highly motivated with thorough, methodological, and accurate work habits, and must be able to work as part of a team.  Experience in one or multiple of Python, Unix, R, C++/C, MATLAB, database programming languages (MySQL, MongoDB, SQLite3), and/or network engineering.  Computer science major is preferred.
Hourly Rate $15.00/hour
Hours 20.0 to 29.0 hours per week
Time Frame Fall/Winter/Spring/Summer
Start Date Monday, August 25, 2025
End Date At completion of project
Primary Contact Brittney Spadafora
Primary Contact's Email N/A
Supervisor N/A
Work Location NCRC B25-1661 Cai Lab
Phone N/A
Fax N/A