Sr Scientist, Quantitative Bioimaging
Core
Develop quantitative imaging and machine-learning approaches to characterize cellular and tissue phenotypes for immunology discovery research.
Role type
Senior Scientist, Quantitative Bioimaging
Builds
Quantitative image-analysis workflows, computer-vision pipelines, and imaging biomarkers for immunology programs
Domain
Immunology, Bioengineering, Computational Biology
Deliverable
production ML models | dashboards & analysis
Required skills
Quantitative image analysis, microscopy (confocal, high-content), computer vision, machine learning, deep learning, Python (NumPy, pandas, Polars, scikit-learn, PyTorch), statistical methods, phenotypic profiling
Preferred skills
Organoid/organ-on-chip modeling, image-based profiling, dimensionality reduction, clustering, morphological feature analysis
Technologies
Confocal microscopy, High-content imaging, Cell painting, PyTorch, scikit-learn, NumPy, pandas, Polars
Responsibilities
Develop and optimize imaging assays and quantitative workflows; Design reproducible computer-vision and ML pipelines for segmentation and feature extraction; Extract multiparametric features to characterize disease phenotypes; Establish quality-control frameworks for image and assay data; Apply statistical and ML methods to identify imaging biomarkers; Collaborate with wet-lab and computational teams on experimental design and data delivery
Seniority
Senior, hands-on IC
