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

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

Science & Research

Ridgefield, Connecticut, US

Added - 19/05/2026

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!

Job Title:

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

Pay rate

: $39/hr.- $42/hr.

Location:

Ridgefield, CT

Job type

: 2-year contract

Position Summary

We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.

The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.

Key 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

Required Qualifications

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

Preferred Qualifications

Experience in tumor immunology, histopathology, or spatial biology

Prior experience in biotech, pharmaceutical, or industry research environments

Familiarity with advanced spatial or multiplex imaging technologies

INDBH

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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.