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
The role supports the development and expansion of spatial biology capabilities for preclinical and translational biomarker discovery, combining histology and tissue-based assay development with high-plex spatial technologies.
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.
Integral member of the turfgrass breeding team, contributing to development and genetic characterization of warm- and cool-season turfgrasses.
Compensation
Salary: Compensation is commensurate with the candidate’s qualifications.
Responsibilities
Develop breeding and biparental populations and genetic diversity panels for molecular and genetic analyses
Characterize populations using wet-laboratory molecular approaches and DNA sequencing
Conduct phenotypic evaluation of progeny populations for important traits
Publish in peer-reviewed journals, present research at scientific meetings, develop progress reports to sponsors, collaborate with multidisciplinary research teams, and mentor graduate and undergraduate students
Integrate phenotypic and molecular data to investigate genetic variation and identify genomic regions associated with important turfgrass traits
Requirements
Bachelor's degree in Plant Breeding, Genetics, Horticulture, Agronomy, Plant Biology, Molecular Biology, or a related field
Nice to have: advanced phenotyping technologies (drones and other phenotyping platforms)
The Histotechnologist / Spatial Biology Specialist will join the Discovery Research team to support the development and expansion of spatial biology capabilities for preclinical and translational biomarker discovery.
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.