Senior Data Scientist
Tasks
- Apply active learning and Bayesian optimization for experimental design
- Build data processing and feature generation workflows
- Collaborate with experimental teams to define objectives and interpret results
- Communicate scientific findings to technical and non technical stakeholders
- Design train and evaluate foundation and generative models
- Develop machine learning models for sequence to property prediction
- Implement interpretable and uncertainty aware modeling
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Active Learning | Bayesian optimization | Deep learning | Diffusion Models | Docker | Experiment tracking | Foundation Models | Generative Modeling | Git | High Performance | High-Performance Computing | Language Models | Machine Learning | Model calibration | Multimodal Data | NumPy | Pandas | Performance Computing | Protein Language Models | PyTorch | Python | Representation Learning | SciPy | Transfer Learning | Uncertainty Estimation | Version control
Education
Roles
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