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Glint Lab · 5 days ago

Digital Pathology - Data Scientist / Computational Scientist

United States

Full-time

Remote

New Grad, Entry Level

$70K/yr - $90K/yr

Glint Lab is a mission driven histopathology CRO supporting biotech, pharma, and academic partners with high quality tissue based assays and quantitative image analysis. The role involves analyzing digital pathology images and datasets using computer vision and statistical methods to extract biologically meaningful insights and maintain high-quality AI models.

AnalyticsBiotechnologyPharmaceutical

Hiring Manager

Misagh Naderi, PhD

Responsibilities

Perform quantitative analysis of digital pathology whole slide images (H&E, IHC, IF, mIF, and more); this will include leveraging software tools such as Visiopharm, Halo, QuPath, and ImageJ/Fiji to train and fine-tune ML/AI models

Perform downstream statistical analysis and data visualization using Python and/or R

Conduct QC and validation of image analysis algorithms and outputs

Collaborate with scientists to translate biological questions into quantitative results

Contribute to the development of workflow automation and new analysis pipelines

Qualification

Digital pathology analysisPythonRMachine learningComputer visionStatistical analysisData visualizationQuality controlBiology backgroundWorkflow automationCollaboration

Required

Bachelor's or Master's degree in biology, bioengineering, biomedical engineering, computational biology, bioinformatics, data science, or a related discipline

Foundational understanding of cell biology and tissue-level organization

Basic understanding of histology concepts, including tissue architecture and common staining approaches, or a demonstrated motivation to develop this knowledge

Working knowledge of Python and/or R for data analysis and visualization

Basic understanding of applied ML and computer vision techniques