Consultant- Haematologist & Histopathologist (with experience in cancer)
Job details
Job Title: Consultant- Haematologist & Histopathologist (with experience in cancer) Duration : Limited Contract (1 month), Fee per Billed Consultation Hours, Part-time / Full-time Overview : We are seeking enthusiastic professionals to partner with and serve as Subject Matter Experts for our digital pathology projects. Contracts have complete flexibility to work around your existing schedule, be part-time, and are remote in nature (i.e., work from home). In this role, you may be asked to perform manual and computer-assisted data labeling across various IF and IHC slides and pathologies, train specialist annotation teams, and/or evaluate and give feedback on annotated datasets. Images, Videos & Text will be provided digitally on custom iMerit software, 3rd party, or client platforms to be performed based on your availability. Company overview: iMerit is a well-funded, rapidly expanding global leader in data services for Artificial Intelligence in Healthcare. iMerit’s dedicated Medical Division works with the world’s largest pharmaceutical companies, medical device manufacturers, and hospital networks to supply the data that powers advances in Machine Learning. At iMerit, we have successfully delivered data services to power cutting-edge technologies such as digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. Job Role: Review multiplex slides and generate a written report. Perform data annotation, quality control, and feedback, to produce a dataset for machine learning purposes. Interact with clients to discuss edge cases and refine methodology. Contribute to creating internal project and workflow training guides for annotation purposes. Communicate with iMerit’s Medical AI team and clients regarding proposed projects and ongoing management. Required Skills :
- Haematologist - Oncologist - Preferably with experience or research in viral disease or immunology
- Histopathologist - with experience in cancer (e.g. describing H&E whole slide morphology, structures, cell phenotypes...)
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