Postdoctoral Scholar

Oregon Health & Science University • Portland, OR

3d • Onsite

About The Position

The Gibbs and Wang Laboratories in the Department of Biomedical Engineering at Oregon Health & Science University (OHSU) are recruiting a postdoctoral fellow to conduct research in multiplexed fluorescence imaging, cyclic immunofluorescence, quantitative image analysis, and spatial biology in tissue and blood samples. The laboratories develop quantitative fluorescence imaging technologies to measure cellular phenotypes, biomarker expression, and spatial relationships in complex biological samples. Projects include high-plex cyclic immunofluorescence of tissues, quantitative analysis of circulating blood cells, and computational methods for extracting molecular and spatial information from large imaging datasets. Research spans cancer biology, biomarker discovery, disease progression, and translational molecular imaging. The laboratories are supported by NIH and foundation funding and offer a collaborative research environment encompassing molecular imaging, fluorescence microscopy, computational analysis, cancer biology, and clinical translation.

The scholar will perform wet-laboratory studies and fluorescence microscopy, and develop computational approaches to analyze multiplexed imaging data. The role also contributes to research meetings, manuscripts, figures, data analysis, funding applications, scientific presentations, publications, and trainee mentorship as appropriate. The position is located at OHSU’s south waterfront campus (RLSB and KCRB). Work hours are 8 a.m. to 5 p.m., with occasional evening and weekend work as needed.

Requirements

• PhD in biomedical engineering, bioengineering, computational biology, bioinformatics, imaging science, or a closely related field.
• Experience with quantitative image analysis, computational biology, or analysis of biological imaging data.
• Experience with programming and quantitative data analysis.
• Strong quantitative and computational skills, including the ability to independently develop, apply, and troubleshoot image-analysis workflows for biological imaging data.
• Experience with scientific programming and quantitative data analysis, including the ability to work with large imaging datasets and maintain reproducible computational workflows.
• Strong communication skills and ability to work effectively in a multidisciplinary research team.

Nice To Haves

• Experience with multiplexed immunofluorescence, cyclic immunofluorescence, fluorescence microscopy, spatial biology, machine learning, tissue or blood imaging, or other high-dimensional imaging approaches.
• Knowledge of fluorescence microscopy, cell segmentation and classification, spatial analysis, statistical modeling, or machine learning.
• Experience with immunofluorescence, spatial biology, or related wet-laboratory methods.
• Training focused on quantitative imaging, computational biology, spatial biology, or molecular imaging.

Responsibilities

• Perform multiplexed immunostaining and related wet-laboratory studies, including cyclic immunofluorescence, antibody conjugation, preparation of tissue and blood samples, and optimization and validation of staining protocols.
• Perform fluorescence microscopy and quantitative image acquisition, including image quality control, experimental optimization, and validation of imaging results.
• Develop and apply computational approaches for quantitative analysis of multiplexed imaging data, including image preprocessing, cell segmentation and classification, feature extraction, spatial analysis, statistical modeling, machine learning, and reproducible image-analysis workflows.
• Participate in laboratory and project meetings and contribute to manuscripts, figures, data analysis, and research funding applications as appropriate.
• Present research at local, national, and international scientific meetings and contribute to publications and other scholarly dissemination activities.
• Provide scientific guidance and mentorship to graduate students, undergraduate researchers, and other trainees working on related projects, as appropriate.
• Perform other duties as assigned.

Benefits

• Healthcare coverage paid 100% for full-time employees and 88% for dependents.
• $50,000 term life insurance provided at no cost to the employee.
• Two pension plans to choose from.
• 208 hours of paid time off per year, prorated for part-time employees.
• 64 hours per year in an extended illness bank, prorated for part-time employees.
• Nine paid holidays per year.
• Substantial Tri-Met and C-Tran discounts.
• Employee Assistance Program.
• Childcare service discounts.
• Tuition reimbursement.
• Employee discounts to local and major businesses.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree