Histology Technician

Responsibilities:

• Designing, validating, and executing IHC and histology experiments on human and mouse tissue samples to contribute to the advancement of novel therapeutics.
• Utilize Indica Labs HALO Link for managing images and processing digital pathology data, including manual data entry, contributing to collaborative research efforts.
• Employ Indica Labs HALO AI to conduct quantitative image analysis on assay results, supporting data interpretation and validation efforts, with guidance and training available to enhance your skills in this area.
• Collaborating with cross-functional teams to communicate experimental findings and support overarching project objectives effectively.
• Independently manage project timelines and execute tissue-based assays to ensure the timely completion of experiments.

Qualifications:

• Education: Bachelor's or Master's degree with at least 6-9 years of relevant experience in histology or a related scientific field. Competence in immunohistochemistry (IHC) and general histology techniques is essential for this role, with experience in additional techniques such as in situ hybridization (ISH) and immunofluorescence (IF) being considered a valuable plus.

Must have:

• Expertise in the processing, embedding, and sectioning of formalin-fixed paraffin-embedded (FFPE) tissues to ensure superior quality is essential. Familiarity with sectioning frozen OCT-embedded tissues would be considered an additional advantage.
• Demonstrated experience in performing immunohistochemistry (IHC) is required, with familiarity in immunofluorescence (IF) and RNAscope assays considered a plus, utilizing both manual techniques and automated systems where applicable.

Nice to haves:

• Familiarity with mouse tissue handling protocols, including the ability to trim tissues appropriately for downstream processing and embedding (note: this role does not involve work with live animals).
• Basic understanding of image analysis methodologies and microscopy techniques, including skills in image acquisition and interpretation for effective assessment of staining quality.
• Proficiency in data entry and processing skills, along with a foundational understanding of basic statistical concepts and graphing techniques for data analysis; experience with Laboratory Information Management Systems (LIMS) for data organization and management is a plus.
• Experience with automated immunostainers (e.g., Leica Bond, Ventana) is also desirable.
• Interest in and/or understanding of oncology, immune-oncology, and / or immunology.

Preferred Qualifications:

• Prior exposure to quantitative image analysis tools (e.g., ImageJ, Indica Labs HALO, QuPath) and experience with whole slide imaging applications to enhance research capabilities.