**Histologist** Laboratory Boston, MA, US Pay Rate Low: 35 | Pay Rate High: 39 + Added - 10/01/2025 Apply for Job **Position Title:** Scientist – Histology and Immunohistochemistry **Location:** Boston, MA (Onsite) **Duration:** 1-year assignment with the possibility of extension **Qualifications:** + **Education:** Bachelor’s or Master’s degree with 5+ years of relevant experience in histology or a related field. + **Expertise:** + Strong proficiency in immunohistochemistry (IHC) and general histology techniques. + Skilled in processing, embedding, and sectioning formalin-fixed paraffin-embedded (FFPE) tissues. + Experience in frozen OCT-embedded tissue sectioning is a plus. + **Additional Skills:** + Familiarity with in situ hybridization (ISH), immunofluorescence (IF), and RNAscope assays. + Experience with automated staining platforms (e.g., Leica Bond, Ventana). + Basic knowledge of microscopy, image analysis tools (e.g., HALO, ImageJ), and whole slide imaging. + Proficiency in data analysis, including statistical concepts and graphing. Familiarity with Laboratory Information Management Systems (LIMS) is a plus. + Interest or background in oncology, immuno-oncology, or immunology. **Responsibilities:** + Design, validate, and execute IHC and histology experiments using human and mouse tissues to support cancer therapy development. + Perform tissue processing and staining using both manual techniques and automated systems. + Use digital pathology tools (e.g., HALO Link, HALO AI) for image management and quantitative analysis. + Collaborate with cross-functional teams to present experimental findings and contribute to project goals. + Manage timelines and execute tissue-based assays with precision to meet deadlines. + Maintain accurate and detailed records in an electronic lab notebook (ELN). **Preferred Experience:** + Knowledge of mouse tissue handling protocols (trimming and embedding; no live animal work required). + Familiarity with quantitative image analysis tools (e.g., Indica Labs HALO, QuPath). + Basic understanding of data visualization and statistical methods. INDBH We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.