Scientist II
Ridgefield, CT
Experience: 0
Category: Scientific & Clinical
Contractor Work Model: Onsite
Brand: Joulé
Job ID: 351028
Date Posted: 07/07/2026
Shortcut: http://jobs.systemone.com/HgKb6T
Job Title: Digital Pathology Image Scientist
Location: Ridgefield, Connecticut
Type: 24 month contract
Compensation: $35-40.05/hr, depending on qualifications
Contractor Work Model: Onsite
Hours: 40.0
Overview
The Digital Pathology Image Scientist develops and applies advanced image analysis workflows to support biomedical research and digital pathology initiatives. This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker development and translational research.
Responsibilities
- Develop, optimize, and maintain image analysis pipelines for 2D and 3D biomedical imaging data.
- Perform quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets.
- Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis.
- Integrate and optimize workflows across digital pathology platforms, including HALO AI, Visiopharm, QuPath, and CellProfiler.
- Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and support research objectives.
- Validate image-derived biomarkers and ensure analytical accuracy, reproducibility, and scientific rigor.
- Document analytical workflows, methodologies, and validation processes to support reproducible research.
- Interpret, visualize, and communicate image-based findings for scientific reports and presentations.
- Support cross-functional collaboration by transferring image analysis workflows, algorithms, and best practices across laboratory teams.
Requirements
- Bachelor's degree in a scientific discipline with 3+ years of relevant experience, or a Master's degree in a related scientific discipline, or equivalent combination of education and experience.
- Proficiency in scientific programming using Python and/or R.
- Experience developing and applying machine learning techniques for biomedical image analysis.
- Experience analyzing pathology images, including H&E, IHC, immunofluorescence (IF), and multiplex immunohistochemistry (mIHC).
- Experience with one or more digital pathology image analysis platforms, such as HALO AI, Visiopharm, QuPath, or CellProfiler.
- Experience with image segmentation, feature extraction, classification, and quantitative image analysis workflows.
- Ability to document analytical methods and produce reproducible, validated image analysis pipelines.
- Strong analytical and problem-solving skills with the ability to work independently on complex scientific projects.
Preferred Qualifications
- Experience in tumor immunology and histopathology.
- Previous experience within the biotechnology or pharmaceutical industry.
- Experience supporting biomarker development or translational research programs.
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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