Machine Learning Engineer/Scientist
Core
Implementing machine learning-based analysis infrastructure and software for cancer imaging, drug development, and bioinformatics at a university research lab.
Role type
Staff Machine Learning Engineer/Scientist (Research)
Builds
Machine learning models and analysis software for medical imaging, genomics, and drug development
Domain
Computational cancer biology, pathology, and artificial intelligence in medicine
Deliverable
production ML models
Required skills
Machine learning model design and development, literature review in medical imaging and genomics, hypothesis generation for data collection and model architecture, feasibility assessment for project integration, programming module modification and tuning
Preferred skills
Experience with Alphafold3, foundation models for image processing, single cell and spatial omics analysis
Technologies
Alphafold3, foundation models
Responsibilities
Conduct literature reviews on medical imaging and genomics; Design and develop ML models for medical imaging and bioinformatics; Perform analysis of tissue images and protein-ligand binding affinity using novel ML algorithms; Modify and tune existing programming modules to integrate with image management platforms
Seniority
Staff, hands-on IC with research leadership