Senior Machine Learning Scientist

🕒 May 22

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Adaptive Biotechnologies Corp.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $125M Post-IPO Debt on 2022-09

Healthcare • Biotechnology • Healthcare Insurance

Adaptive Biotechnologies Corp. is a leader in immune-driven medicine, aiming to revolutionize disease detection and treatment. By utilizing the adaptive immune system, the company develops diagnostic and therapeutic solutions powered by its innovative Immune Medicine platform. They offer clinical diagnostics, particularly in Minimal Residual Disease (MRD) testing, and engage in drug discovery and therapeutic development through adaptive immunosequencing technologies. Their biopharma services support the progression of clinical trials and the development of transformative medicines. Adaptive Biotechnologies leverages the complex biology of the immune system, decoding it to advance medical science and improve patient outcomes.

📋 Description

• Design, implement, train, and iterate on novel deep learning models for TCR–pMHC specificity prediction. • Adapt and extend advances in protein structure prediction and protein-protein interaction modeling to the immune receptor setting. • Conduct rigorous benchmarking and evaluation strategies to ensure models are scientifically sound and practically superior. • Translate biological principles of T cell recognition into principled modeling decisions. • Influence large-scale experimental data generation to maximize modeling leverage and long-term performance gains. • Provide technical recommendations to broader modeling discussions and roadmap planning. • Work closely with computational biology, immunology, translational, and engineering teams to ensure models are robust, reproducible, and aligned with overall product goals. • Communicate modeling insights, approaches, and results to cross-functional scientific audiences. • Contribute to publications, presentations, etc. through technical execution and analysis. • All other duties as assigned.

🎯 Requirements

• PhD in a quantitative discipline (e.g. Machine Learning, Computational Biology, Computer Science, etc.) + 5 years progressive experience applying machine learning to real-world scientific or biological problems OR equivalent combination of education and experience. • Progressive experience in the development and deployment of deep learning methods • Strong hands-on experience in python and modern ML tooling (PyTorch preferred) • Strong experience in deep learning architecture design and implementation. • Strong experience with protein structure prediction or analysis • Experience working with large datasets and high-performance computing environments • Ability to independently define, scope, and execute complex technical research problems. • Strong written and verbal communication skills, with ability to present highly technical material to diverse audiences. • Demonstrated ability to collaborate effectively in cross-functional, multi-disciplinary teams • Driven by impact: motivated to see models transition from research to clinical and commercial application.

🏖️ Benefits

• equity grant • bonus eligible