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Position Title: Scientist II
Work Location: Ridgefield, CT 06877
Assignment Duration: 24 Months
Work Schedule: 40 hours/week
Work Arrangement: Onsite
Position Summary: Develop and optimize image analysis pipelines for 2D and 3D biomedical images. Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data.
Key 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.
Qualification & Experience:
* 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.
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