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Scientist II

Job in Ridgefield, Fairfield County, Connecticut, 06877, USA
Listing for: Varite, Inc
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 40.04 - 42.9 USD Hourly USD 40.04 42.90 HOUR
Job Description & How to Apply Below

Pay Rate Range: $40.04 - $42.90/hr on W2
Duties:

  • 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, 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.

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.
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