Scientist II

• 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.

Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.