Scientist II

Responsibilities

• 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, Cell Profiler).
• 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.