Histotechnician

System One; Ridgefield (CT); In loco; USD 39.000 - 52.000; Tempo pieno

Descrizione del lavoro

System One, Inc. in Ridgefield, CT is seeking a Histotechnician / Spatial Biology Specialist to support the Discovery Research team, expanding capabilities for preclinical biomarker discovery.

You will develop and optimize high-plex tissue-based assays, perform core histology workflows, and contribute to quantitative imaging and data quality.

This onsite contract role requires 40 hours weekly and close collaboration with computational and translational research teams.

Competenze

• Bachelor's or Master's degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline.

Mansioni

• 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.
• Collaborate with computational scientists and project teams to integrate spatial protein, RNA, imaging, and histopathology data.

Conoscenze

High-plex imaging

Spatial transcriptomics

Quantitative microscopy

Image analysis

R & Python

Formazione

Bachelor's or Master's degree in Biology/Histotechnology or related discipline

Strumenti

R

Python

Descrizione del lavoro

Job Title: Histotechnician
Location: Ridgefield, CT
Type: Contract
Work Model: Onsite
Hours: 40 hours

Overview

The Histotechnician / Spatial Biology Specialist will support the Discovery Research team in Ridgefield, CT, helping expand spatial biology capabilities for preclinical and translational biomarker discovery. Develop and optimize high-plex tissue-based assays (multiplex IF/spatial profiling), perform core histology workflows, and contribute to quantitative imaging/image analysis to generate high-quality spatial datasets.

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.

Requirements

• Bachelor's or Master's degree in Biology, Histotechnology, Pathology, Biomedical Sciences, or a related discipline.

Preferred

• 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.

System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#LI-

Ref: #558-Scientific