Algorithms, Analysis Skills, Artificial Intelligence (AI), Biology, Biomarkers, Biomedicine, Biotech and Pharmaceutical, Cell Analysis, Data Science, Histology, Histopathology, Image Processing, Immunology, Machine Learning, Multiplatform/Cross-Platform, Multiplexing, Pathology, Problem Solving Skills, Programming Languages, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language
Location: Ridgefield, CT
Duration: 12 Months
Job Description:
" Develop and optimize image analysis pipelines for 2D and 3D biomedical images.
" Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data.
" Apply classical image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.g., HALO, Visiopharm, QuPath).
" Collaborate with pathologists, biologists, and data scientists to define analytical endpoints.
" Validate image derived biomarkers and ensure analytical rigor.
" Document workflows and ensure reproducibility of analyses.
" Support interpretation and visualization of image based data for scientific reports.
" Help cross lab collaboration through image and algorithm transfer.
Skills:
" Proficient in scientific programming languages (R, Python) and have experience applying machine learning techniques, preferably in pathology images (H&E/IHC/mIF).
" Extensive experience applying machine learning techniques.
" Experience in cell image analysis and marker quantification from multiplex IHC for digital pathology.
" Experience with some of these image analysis tools (e.g., HALO AI, Visiopharm, QuPath, CellProfiler).
" Strong problem-solving and independent thinking skills.
" Experience in tumor immunology and histopathology is a plus.
" Previous experience in industry and biotech is desired.e
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