Boehringer Ingelheim
Scientist II
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Scientist II, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include proficiency in R and Python, machine learning, and experience with image analysis tools. A Bachelor's or Master's degree and 3+ years in a related field are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Ridgefield, CT
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🧠 - Skills detailed
#ML (Machine Learning) #Python #AI (Artificial Intelligence) #Classification #Programming #Image Processing #R #Data Science #Visualization #"ETL (Extract #Transform #Load)"
Role description
• 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.
• 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.
• 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.
• 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.
