Principal Machine Learning Scientist (all genders)
Tasks
- Accelerate drug discovery projects with AI
- Apply machine learning to drug discovery
- Assess target druggability
- Characterize protein protein interactions
- Characterize protein-ligand interactions
- Communicate with stakeholders
- Contribute to open source
- Design biomolecules de novo
- Design drug delivery systems
- Evaluate machine learning workflows
- Identify druggable pockets and epitopes
- Implement machine learning tools and software
- Improve machine learning workflows
- Lead machine learning algorithm development
- Publish and present research
- Stay current with AI modeling advances
- Validate machine learning solutions
Perks/Benefits
- Childcare support
- Coaching and mentoring
- Health checks
- Hybrid work flexibility
- Inclusive work environment
- Professional development opportunities
Skills/Tech-stack
Biochemical Data | Biochemical data analysis | Biophysical Data | Biophysical data analysis | Data Analysis | Data Processing | Data integration | De Novo | De novo protein design | Drug Discovery | Large data | Large data processing | Machine Learning | Molecular Dynamics | Protein Design | Protein Ligand | Protein interactions | Protein modeling | Protein-Ligand Interactions | Protein-Protein Interactions | Python | Rosetta | Structural Biology
Education
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