Project Assistant , Research

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

275 Hutchison Rd, Rochester, New York, United States of America, 14627

Opening Worker Subtype:
Temporary

Time Type Full time

Scheduled Weekly Hours 40

Department 220546 Biomedical Engineering

Work Shift UR - Day (United States of America)

Range UR URG 102 H

Compensation Range $17.00 - $22.10

This individual will be responsible for maintaining and improving a machine learning algorithm used to diagnose skin cancer. Tasks will be broadly split between development work on an existing machine learning pipeline which takes in clinical images and produces a diagnosis using the Slide Flow API, and supporting the deployment of the existing pipeline during clinical trials. Development tasks will include importing additional training data to train feature extractors and exploring alternative training strategies under the direction of a senior researcher.

Support tasks will include investigating software bugs, misdiagnosed image sets, and making improvements to the image processing algorithms used in clinic to extract images for machine learning analysis. All tasks will be performed under supervision of Dr. Chi Haung and Dr. Michael Giacomelli with assistance from Dr. Sheriff Ibrahim.

• Algorithm development
• Clinical testing and support

• Experience with Slide Flow required

• Ability to program in MATLAB or Python required
• Experience in digital pathology and interpretation of histology images
• Experience with machine learning algorithms, especially Slide Flow required

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