Student Research Worker

Columbia University in the City of New York; New York (NY); Hybrid; USD 37,000 - 45,000; Part time

Job summary

Columbia University Medical Center in the United States seeks a Master’s-level CS student for a Student Research Worker role focused on advancing a cardiac surgical video analysis pipeline. The candidate will extend anatomy recognition models and leverage Segment Anything 2 for semi-automated segmentation, supporting AI-assisted surgery projects.

The position requires a CS background, Python and PyTorch experience, and interest in computer vision.

Qualifications

• High School Diploma or equivalent certificate.
• 6 months of related laboratory experience.
• Technical training or equivalency.

Responsibilities

• Maintain and augment the existing pipeline of surgical video analysis modules.
• Develop a pipeline using Segment Anything 2 for semi-automated anatomy segmentation.
• Aiding other module development relating to AI-assisted cardiac surgery.
• Other duties as assigned.

Skills

Python programming

Deep learning

Pytorch

Computer vision

Teamwork

Education

High School Diploma or equivalent

Undergraduate degree in CS

Graduate student in CS (Master/PhD)

Tools

Segment Anything 2

PyTorch

Job description

• Job Type: Short Term Casual
• Bargaining Unit:
• Regular/Temporary: Temporary
• End Date if Temporary:
• Hours Per Week: 10
• Standard Work Schedule: Mon - Fri 9am - 5pm
• Building: Columbia University Medical Center
• Salary Range: $27.00- $33.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

The Department of Surgery is seeking a Student Research Worker (CU Student). We are looking for a highly motivated master's-level computer science student with an interest in computer vision. The primary role will be to enhance an existing cardiac surgical video analysis pipeline by expanding anatomy recognition models to support AI-assisted surgery.

Responsibilities

• Maintain and augment the existing pipeline of surgical video analysis modules.
• Develop a pipeline using Segment Anything 2 for semi-automated anatomy segmentation.
• Aiding other module development relating to AI-assisted cardiac surgery.
• Other duties as assigned.

Minimum Qualifications

• High School Diploma or equivalent certificate.
• Technical training or equivalency, and 6 months of related laboratory experience.

Preferred Qualifications

• Undergraduate degree, graduate student (Master or PhD program) in computer science, with intermediate coding experience in Python.
• Coding skills as above.
• Experience with deep learning projects, Pytorch familiarity.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.