Principal Machine Learning Scientist
Core
Lead the development of deep learning models to predict interactions between T cell receptors and peptide–MHC complexes for diagnostic and therapeutic initiatives.
Role type
Principal Machine Learning Scientist (Immune Medicine)
Builds
Deep learning models for TCR–pMHC specificity prediction
Domain
Biotechnology / Immune Medicine / Deep Learning
Deliverable
production ML models
Required skills
Deep learning architecture design, Python, PyTorch, ML experiment tracking, version control, strategic technical direction, independent research execution, scientific benchmarking
Preferred skills
Protein structure prediction, protein design, generative modeling, protein language models, large-scale biological datasets, immunology, immune receptor specificity
Technologies
PyTorch, Python, GPU infrastructure
Responsibilities
Design and train novel deep learning architectures for TCR–pMHC prediction; extend advances in protein language models and representation learning; leverage scalable training infrastructure; lead rigorous benchmarking and evaluation strategies; define modeling and data strategy; partner with computational biology and immunology teams; communicate complex modeling insights to leadership and partners.
Seniority
Principal, strategy & mentorship