Principal Machine Learning Scientist
Adaptive Biotechnologies · Remote
RoleLantern re-checked this role's application link recently and it was active — the employer has not confirmed it directly.
Role summary
Adaptive Biotechnologies seeks a Principal Machine Learning Scientist to lead development of deep learning models predicting T cell receptor and peptide-MHC interactions. The role leverages proprietary immune datasets to design and validate models that advance diagnostic and therapeutic applications across the organization.
What they're looking for
- PhD in quantitative discipline (machine learning, computational biology, computer science, or related field)
- 12+ years of professional experience in machine learning or computational research
- Expertise designing and training deep learning architectures for complex prediction tasks
- Experience with protein language models, structure prediction, or generative modeling
- Strong ability to translate biological principles into modeling strategies
- Track record of high-impact publications and intellectual property contributions
What you'll be doing
- Design, implement, and train novel deep learning models for TCR-pMHC specificity prediction
- Integrate protein language models and structural prediction advances into immune receptor modeling
- Lead benchmarking and evaluation strategies to validate model performance in practical applications
- Influence experimental data generation strategy to improve long-term model performance
- Partner with computational biology, immunology, and engineering teams to ensure scalability and alignment with clinical goals
Privacy & handoff
This role links to Adaptive Biotechnologies's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.