Project Assistant I, Research
About The Position
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 SlideFlow 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.
Requirements
- Experience with SlideFlow required
- Ability to program in matlab or python required
- Experience with machine learning algorithms, especially SlideFlow required
Nice To Haves
- Experience in digital pathology and interpretation of histology images
Responsibilities
- Algorithm development
- Clinical testing and support
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
