Senior Scientist (In Vivo Imaging Biomarkers), Biomarkers & Data Analytics, Quantitative Biosciences
Core
Develop AI/ML and image analysis techniques to analyze multimodal medical images and integrate them with omics and clinical data to discover and validate novel biomarker solutions for drug discovery.
Role type
Senior IC machine-learning engineer (medical imaging & omics)
Builds
AI-enabled medical imaging analytics pipelines and quantitative imaging biomarkers
Domain
Biopharmaceuticals, medical imaging, AI/ML
Deliverable
production ML models
Required skills
Computer vision, machine learning, deep learning, Python, R, image segmentation, image registration, feature extraction, multimodal data integration, large-scale dataset analysis
Preferred skills
Scalable computing environments (AWS, HPC, Google Cloud, Azure, Databricks), knowledge of cardiometabolic/immunological/neurological/ophthalmological disease biology
Technologies
ITK, SITK, OpenCV, scikit-learn, PyTorch, TensorFlow, AWS, HPC, Google Cloud, Azure, Databricks
Responsibilities
Design and validate AI-enabled medical imaging analytics pipelines; formulate hypotheses and execute analytical methodologies to elucidate disease pathophysiology; integrate imaging-derived phenotypes with molecular, omics, and clinical data; identify and evaluate internal and external datasets; collaborate with internal stakeholders and external partners; author project proposals, publications, and technical reports
Seniority
Senior, hands-on IC
