AI Scientist – AI-Driven Target Identification
Tasks
- Advance generative AI for drug discovery
- Build AI models
- Contribute to scientific publications
- Deploy and validate models
- Design machine learning algorithms
- Develop AI platforms
- Generate predictive insights
- Perform feature engineering
- Prepare ML ready data best practices
- Present results at scientific conferences
- Work with multimodal foundation models
Perks/Benefits
- Global recognition programs
- Hybrid work options
- Insurance plans
- Paid parental leave
- Relocation assistance
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Data Engineering | Deep learning | Drug Discovery | Feature Engineering | Generative AI | Geometric Deep Learning | Graph Algorithms | Knowledge graphs | Large-scale | Large-scale knowledge graphs | Machine Learning | Model Deployment | Model Validation | Multi-Modal | Multi-modal Models | Multimodal Learning | Omics Data | Oncology Drug Discovery | Pretrained models | PyTorch | Python | Self-Supervised Learning | Self-supervised | Series analysis | Statistical Analysis | Supervised Learning | Time Series | Time Series Analysis
Education
Roles
AI | AI Scientist | Learning Scientist | Machine Learning Scientist | Scientist
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