Job Description: Oregon Health & Science University
Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.
Senior Research Assistant
US-OR-Portland
Job ID: 2024-31793 Type: Regular Full-Time # of Openings: 1 Category: Research Portland, OR (Waterfront)
Overview
Staining multiplex IHC antibody panels on FFPE slides
Image and data curation, data cleaning and tracking of projects through the mIHC workflow
Maintain rigorous quality control standards, keeping careful record and working closely with other scientists to coordinate complex experiments and troubleshooting.
Assist in creating presentations by identifying key information and images to include
Work independently within established guidelines, use good judgment in making decisions, communicate and work effectively as part of a team. Work and interact with a variety of scientists and staff.
Responsibilities
Bachelor's in relevant field AND 1 years of relevant experience OR
Equivalent combination of training and experience.
Experience or strong interest in biological imaging, antibody staining, microscopy, or cancer immunology.
Organizational skills, MS Office competency.
Ability to communicate effectively, relay issues and troubleshoot, problem solving abilities, and high attention to detail.
Interest in immunology/cancer research and reading relevant literature.
Qualifications
Bachelor’s Degree (BA/BS) with 3 years+ of relevant experience in scientific research lab.
Experience with IHC antibody staining, histopathology, brightfield microscopy, digital pathology, or cancer imaging related field.
Knowledgeable in advanced image analysis techniques such as image registration, segmentation, and color deconvolution.
