Senior Machine Learning Scientist
Core
Design, implement, train, and evaluate deep learning models to predict interactions between T cell receptors and peptide–MHC complexes for immune medicine diagnostics and therapeutics.
Role type
Senior Machine Learning Scientist (TCR-pMHC specificity)
Builds
Predictive models for TCR–pMHC specificity
Domain
Immune medicine / Computational biology / Deep learning
Deliverable
production ML models
Required skills
Deep learning architecture design, Python, PyTorch, protein structure prediction, large-scale dataset handling, high-performance computing, independent research problem definition
Preferred skills
Protein interaction modeling, molecular dynamics, free energy perturbation, immunology (antibody or TCR)
Technologies
PyTorch, Python, GPU infrastructure
Responsibilities
Design and iterate novel deep learning models for TCR–pMHC prediction; adapt protein structure prediction advances to immune receptors; conduct rigorous benchmarking; translate biological principles into modeling decisions; influence experimental data generation; provide technical recommendations for roadmap planning; communicate modeling insights to cross-functional teams; contribute to publications.
Seniority
Senior, hands-on IC