Project Assistant , Research

Position: Project Assistant I, Research
Location: City of Rochester

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.

Job Location (Full Address):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 HCompensation Range:$17.00 - $22.10

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

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.

ESSENTIAL FUNCTIONS Algorithm development

Clinical testing and support

MINIMUM EDUCATION & EXPERIENCE with Slide Flow required

KNOWLEDGE,

SKILLS AND ABILITIES

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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This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.
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