Job Description
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
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
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
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
💡 Quick Summary
Seeking a career-building opportunity? The Technician A position is now open for candidates interested in the Lab Technician / Pharmacist Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Lab Technician / Pharmacist Jobs is a plus.
