Website Mindlance
Mindlance
Company : Mindlance
" 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.
Education:
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.