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Scientist II

Spectraforce Technologies
United States, Connecticut, Ridgefield
Jul 15, 2026

Position Title: Scientist II

Work Location: Ridgefield, CT 06877

Assignment Duration: 24 Months

Work Schedule: 40 hours/week

Work Arrangement: Onsite


Position Summary:
Develop and optimize image analysis pipelines for 2D and 3D biomedical images.
Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data.

Key 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.


Qualification & Experience:

* 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.

* 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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