• 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.

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.

#TechJA