Computational Image Analysis Scientist – 2D/3D Biomedical Imaging

About the role

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist – 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference! Location: Ridgefield, CT. Job type: 2-year contract.

Responsibilities

• Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
• Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
• Apply classical image processing and machine learning methods for:
  • Image segmentation
  • Feature extraction
  • Cell detection and classification
• Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
• Integrate and work across digital pathology platforms including: HALO AI, Visiopharm, QuPath, CellProfiler
• Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
• Validate image-derived biomarkers and ensure scientific and analytical rigor
• Document workflows to ensure reproducibility and regulatory-grade traceability
• Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
• Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Requirements

• Bachelor’s degree with 3+ years of experience, or Master’s degree in a relevant scientific discipline (or equivalent experience)
• Strong proficiency in Python and/or R for scientific computing and data analysis
• Demonstrated experience in machine learning applied to image data
• Hands-on experience with digital pathology or biomedical image analysis
• Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
• Proven ability to perform cell segmentation, classification, and marker quantification
• Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
• Strong problem-solving skills and ability to work independently in a research-driven environment
• Experience in tumor immunology, histopathology, or spatial biology (Preferred)
• Prior experience in biotech, pharmaceutical, or industry research environments (Preferred)
• Familiarity with advanced spatial or multiplex imaging technologies (Preferred)

Pay

$39/hr. - $42/hr.