Support the development and expansion of spatial biology capabilities for preclinical and translational biomarker discovery in the Oncology Research department.
Compensation
Pay: $38.93/Hour
Responsibilities
Develop, optimize, and execute high-plex tissue-based assays, including multiplex immunofluorescence and other spatial protein profiling approaches in human and mouse tissues.
Design and optimize multiplex antibody panels, including antibody selection, staining conditions, controls, panel compatibility, tissue-specific optimization, and assay performance.
Support the establishment and application of spatial transcriptomics and emerging spatial profiling technologies, including assay and data QC.
Develop integrated workflows spanning tissue preparation, staining, imaging, spatial profiling, and quantitative analysis, troubleshooting assays to improve robustness, reproducibility, and data quality.
Support acquisition and analysis of whole-slide, multiplex, and spatial imaging datasets, including tissue annotation, cell segmentation, phenotyping, spatial quantification, and visualization.
Requirements
Bachelor’s or Master’s degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline
Support the development and expansion of spatial biology capabilities for preclinical and translational biomarker discovery.
Compensation
Pay Rate Range: $38.66 - $41.42/hr. on W2.
Responsibilities
Develop, optimize, and execute high-plex tissue-based assays, including multiplex immunofluorescence and other spatial protein profiling approaches in human and mouse tissues.
Design and optimize multiplex antibody panels, including antibody selection, staining conditions, controls, panel compatibility, tissue-specific optimization, and assay performance.
Support the establishment and application of spatial transcriptomics and emerging spatial profiling technologies, including assay and data QC.
Develop integrated workflows spanning tissue preparation, staining, imaging, spatial profiling, and quantitative analysis, troubleshooting assays to improve robustness, reproducibility, and data quality.
Support acquisition and analysis of whole-slide, multiplex, and spatial imaging datasets, including tissue annotation, cell segmentation, phenotyping, spatial quantification, and visualization.
Requirements
Bachelor's or Master's degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline.
Nice to have: High-plex/multiplex protein imaging
Nice to have: Spatial transcriptomics or related spatial gene-expression technologies
Nice to have: Quantitative microscopy or high-content tissue imaging