Senior Machine Learning Scientist, Imaging
Core
Develop ML-empowered computer vision pipelines to extract insights about disease mechanisms from multiple microscopy modalities for drug development.
Role type
Senior IC machine learning scientist (imaging)
Builds
High-throughput imaging-based experiments and robust image analysis workflows for experimental and computational biologists
Domain
Biotech / Drug discovery / Computer vision / Microscopy
Deliverable
production ML models
Required skills
Computer vision, machine learning, Python, deep learning frameworks (PyTorch, TensorFlow, Keras), segmentation, feature extraction, representation learning, microscopy data analysis
Preferred skills
Video or imaging time-series modeling, microscopy hardware experience, optical physics knowledge, cloud computing (AWS/Azure), SQL, open source contributions
Technologies
PyTorch, TensorFlow, Keras, AWS, Azure, SQL
Responsibilities
Design and optimize high-throughput imaging-based experiments; develop and deploy novel computer vision and machine learning methods; build robust image analysis workflows; calibrate tools and define performance metrics; communicate findings to stakeholders; identify novel disease-relevant phenotypes
Seniority
Senior, hands-on IC