Principal Machine Learning Scientist (all genders)
Tasks
- Communicate and educate stakeholders on technology progress and initiatives
- Identify opportunities to accelerate drug discovery using internal and external AI
- Lead machine learning development evaluation and application for biomolecule characterization and design
- Stay current with advances in computational modeling of biomolecular structure physics interactions and function
Perks/Benefits
- Childcare support
- Coaching & mentoring
- Company daycare
- Health checks
- Hybrid work flexibility
- Inclusive work environment
- Learning and development opportunities
- Part-time arrangements
- Training programs
Skills/Tech-stack
Biochemical Data | Bioinformatics | Biology Data | Biomolecule modeling | Biophysical Data | Co-folding | Data Analysis | Data integration | Dataset Processing | Drug Discovery | Foldseek | Generative Methods | Generative Models | Inverse Folding | Language Models | Large dataset | Large dataset processing | Machine Learning | Mmseqs | Omics Data | Pandas | Protein Language Models | PyTorch | Python | Scikit-learn | Sequence-to-Function | Steerable Generative Methods | Structural Biology | Structural Biology Data
Education
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