"Technician A"

Posted: 28-Jan-26

Location: New York, New York

Type: Full-time

Categories: Staff/Administrative

Internal Number: 555089

• Job Type: Support Staff - Union
• Bargaining Unit: SSA
• Regular/Temporary: Regular
• Hours Per Week: 35
• Salary Range: $46,529.36 - $46,529.36

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.

A strong internal candidate has been identified for this position, however, we are still accepting applications from other qualified candidates.

Position Summary

While deep learning has achieved outstanding performance in tasks such as automated organ segmentation in radiotherapy, its success heavily relies on large volumes of fully annotated data collected from different hospitals. In practice, however, site-specific clinical focus and the high cost of manual annotation often result in scans where only a subset of organs is labeled, leading to partially labeled condition that significantly affects model performance. The Department of Radiation Oncology is looking for a Technician A to assist with the development of advanced AI solutions to address this challenge.

Responsibilities

• Working under direct supervision from a higher-level technician or researcher. Assist with developing an iterative framework that dynamically leverages the strengths from both a foundation model and a trainable specialist model to handle missing annotations.
• Extend this framework to distributed environment with personalized federated learning.
• Maintaining records and findings related to project.
• Preparing materials for and assisting in experiments
• Performing simple experiments according to written protocols
• Summarize findings in technical reports and explore opportunities for publishing.
• Assisting with other project related duties as assigned

Minimum Qualifications

• Two years of college or a completed A.A. program with an emphasis in chemistry, biology, engineering, physics or a completed animal husbandry program. One year of related experience, or equivalent in education, training, and/or experience.

Preferred Qualifications

• Degree or has studied medical physics, biomedical engineering, electrical engineering, computer science, or other data science related fields.
• Fluency in Python and PyTorch with hands-on experience.
• Experience with medical image analysis packages such as ITK and MONAI, familiar with nnUNet.
• Basic knowledge of machine learning theory and statistics