Scientist II

Sigma Systems, Inc

$80K — $110K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in a related scientific discipline with 3+ years of experience.
  • Proficient in R and Python for scientific programming.
  • Strong background in applying machine learning techniques, ideally for pathology-related images.
  • Experience with cell image analysis and multiplex IHC quantification.
  • Familiarity with image analysis tools like HALO AI, Visiopharm, QuPath, and CellProfiler.
  • Excellent problem-solving abilities and independent thinking skills.
  • Background in tumor immunology and histopathology is advantageous.

Responsibilities

  • Develop and optimize pipelines for analyzing 2D and 3D biomedical images.
  • Perform quantitative analysis on histology, IHC, IF, and multiplex imaging data.
  • Apply classical image processing and machine learning for feature extraction and classification.
  • Collaborate with various specialists to set analytical endpoints.
  • Validate biomarkers derived from images and ensure the accuracy of analyses.
  • Document workflows to maintain reproducibility in analysis.
  • Support scientific reporting through visualization of image data.
Full Job Description
About the job Scientist II

37218960 Scientist II Ridgefield, CT, 24 Months

Sigma Inc is looking for a Scientist to work onsite with our team in Ridgefield, CT.

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.

Requirements:
  • 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.
  • 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.

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