SPECTRAFORCE
Pathology Scientist II
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Pathology Scientist II in Ridgefield, CT, for 24 months at a pay rate of "unknown." Key skills include R, Python, and machine learning, with experience in image analysis tools and tumor immunology preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
336
-
🗓️ - Date
May 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Ridgefield, CT
-
🧠 - Skills detailed
#Classification #Data Science #Visualization #AI (Artificial Intelligence) #Python #R #ML (Machine Learning) #Image Processing #"ETL (Extract #Transform #Load)" #Programming
Role description
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.
For information on benefits, equal opportunity employment, and location-specific applicant notices. Click here: https://spectraforce.com/spectraforce-applicant-disclaimers-contingent/
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.
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.
For information on benefits, equal opportunity employment, and location-specific applicant notices. Click here: https://spectraforce.com/spectraforce-applicant-disclaimers-contingent/
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.
