Machine Learning Scientist (all genders)
Tasks
- Accelerate drug discovery with internal and external AI capabilities
- Apply machine learning to biomolecule characterization
- Apply machine learning to biomolecule design
- Communicate machine learning progress to stakeholders
- Develop machine learning algorithms and workflows
- Educate stakeholders on technology state
- Evaluate machine learning algorithms and workflows
- Stay current with computational modeling advances
Perks/Benefits
- Childcare support
- Coaching and mentoring
- Flexible work arrangements
- Health checks
- Hybrid work options
- Learning and development programs
- Part-time arrangements
- Training programs through learning academy
Skills/Tech-stack
Bioinformatics | Bioinformatics Tools | Drug Discovery | Foldseek | Generative Models | Inverse Folding | Language Models | Language Processing | Machine Learning | Mmseqs | Natural Language | Natural Language Processing | Pandas | Protein Language Models | PyTorch | Python | Scikit-learn | Sequence-to-Function | Structural Biology | ‘Omics
Education
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