Data Scientist
Core
Build sequence-function machine learning models and algorithms to accelerate mRNA therapeutics and vaccine discovery using internal assay data.
Role type
Senior IC data scientist (sequence-function ML)
Builds
ML-powered systems for molecular prioritization and experimental design in RNA and LNP design
Domain
Biotech / mRNA therapeutics / Machine Learning
Deliverable
production ML models
Required skills
sequence-function modeling, QSAR modeling, statistical experimental design, Bayesian optimization, active learning, uncertainty quantification, noisy biological data interpretation
Preferred skills
neural vision models, neural language models, diffusion models, graph neural networks, external data integration, scientific Python stack (PyTorch, scikit-learn, Pandas), AWS, Docker, Git
Technologies
PyTorch, scikit-learn, Pandas, Jupyter, AWS, Docker, Git
Responsibilities
Design and analyze molecular and sequence libraries using statistical design of experiments and active learning; develop and deploy agentic ML systems; collaborate with experimental scientists and engineers; communicate findings internally and externally
Seniority
Senior, hands-on IC