Senior Machine Learning Scientist, Foundation Model
Core
Develop and train large-scale Foundation Models based on biological data to advance understanding of complex diseases and support therapeutic strategy development.
Role type
Senior IC machine learning scientist (foundation models)
Builds
Production ML models for target and biomarker discovery
Domain
Life sciences / Genomics / AI
Deliverable
production ML models
Required skills
Transformer-based Foundation Models, Pre-training large-scale models, Representation learning, Diffusion models, PyTorch, Python, Algorithms, Applied Mathematics, Computational Sciences, Deep Learning, Genomics, Machine Learning Algorithms
Preferred skills
Biological data analysis, Scientific publications (NeurIPS, ICML, ICLR), Biological foundation models
Technologies
PyTorch, Python, GPUs
Responsibilities
Design and develop novel ML algorithms for target and biomarker discovery, Collaborate with cross-functional teams to identify research questions and data requirements, Stay up to date with modern AI/ML advancements and apply them to improve methodologies, Publish research findings in relevant conferences and journals
Seniority
Senior, hands-on IC
