AI Scientist – AI-Driven Target Identification
Tasks
- Build ML ready data best practices
- Collaborate with cross-functional teams
- Deploy and validate ML models
- Design AI ML approaches for target identification
- Develop generative AI for drug discovery
- Extract insights from multi modal datasets
- Model biomolecular interactions with AI
- Present findings at conferences
- Publish scientific results
Perks/Benefits
- Flexible hybrid working
- Global recognition programs
- Insurance plans
- Paid parental leave
- Relocation assistance
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Data Engineering | Data Governance | Data Quality | Deep learning | Feature Engineering | Generative AI | Geometric Deep Learning | Graph Algorithms | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Validation | Multi-Modal | Multi-Modal Learning | Omics Data | Pretrained models | PyTorch | Python | Self-Supervised Learning | Self-supervised | Series analysis | Supervised Learning | Time Series | Time Series Analysis
Education
Roles
AI | AI Scientist | Learning Scientist | Machine Learning Scientist | Scientist
Regions
Countries
States
Cities
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