New

Histotechnician

Spectraforce Technologies
United States, Connecticut, Ridgefield
Nov 04, 2026
Position Title: Histotechnician Work Location: Ridgefield, CT 06877 Assignment Duration: 12 Months Work Arrangement: Onsite Position Summary: The Oncology Research department at our organization is seeking a Histotechnologist / Spatial Biology Specialist to join the Discovery Research team in Ridgefield, CT. This role will support the development and expansion of spatial biology capabilities for preclinical and translational biomarker discovery. Background & Context: The successful candidate will combine a strong foundation in histology and tissue-based assay development with experience in high-plex spatial technologies and quantitative image analysis. The position will play an important role in developing and optimizing high-plex protein staining panels in human and mouse tissues, implementing spatial transcriptomic workflows, and generating high-quality spatial datasets that enable deeper characterization of the tumor microenvironment and tissue biology. This is an ideal opportunity for a scientist who enjoys working at the interface of histology, imaging, and data analysis. We are particularly interested in candidates who can bridge wet-lab experimentation with quantitative approaches and who are excited about establishing and advancing new spatial biology capabilities. Key Responsibilities: Spatial Biology & Assay Development 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 related 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. Collaborate with computational scientists and project teams to integrate spatial protein, RNA, imaging, and histopathology data. Histology & Tissue Processing Perform core histology workflows, including tissue processing, embedding, microtome sectioning, slide preparation, H&E, IHC/IF, ISH, and coverslipping. Work with human and mouse FFPE and frozen tissues, optimizing tissue preparation and sectioning for advanced spatial assays. Perform QC of tissue sections, staining, imaging, and spatial assays to ensure reproducible, high-quality data. Laboratory & Cross-Functional Support Operate instrumentation supporting histology, multiplex staining, imaging, slide scanning, and spatial biology workflows. Maintain accurate experimental records, protocols, SOPs, assay-development documentation, and sample tracking. Communicate results and technical recommendations and collaborate across in vivo pharmacology, pathology, translational research, molecular biology, imaging, and computational sciences. Contribute to a collaborative environment emphasizing scientific rigor, innovation, data quality, and continuous improvement. Qualification & Experience: Preferred Qualifications: Candidates do not need to bring every capability listed below. We are particularly interested in individuals with complementary wet-lab and image analysis who are motivated to broaden their expertise in spatial biology. Experience with high-plex/multiplex protein imaging and antibody panel development in human and/or mouse tissues. Experience with spatial transcriptomics or related spatial gene-expression technologies. Experience with quantitative microscopy or high-content tissue imaging. Experience with image analysis, such as tissue annotation, cell segmentation, phenotyping, spatial measurements, or quantitative biomarker analysis. Familiarity with R, Python, or other data-analysis/programming environments. Bachelor's or Master's degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline.