Scientist II

• 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. • 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. Bachelor’s Degree from an accredited institution with three-plus (3+) years of experience in related scientific discipline or Master’s Degree from an accredited institution in related scientific discipline or equivalent experience in related field.