This is a fully onsite role working 40hrs per week.

Duties:

• The Oncology Research department at Client 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.
• 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 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.
• 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. 

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.