AI Scientist – AI-Driven Target Identification
Tasks
- Advance generative AI for drug discovery
- Collaborate on ML ready data best practices
- Contribute to scientific publications
- Design machine learning algorithms
- Develop AI models and platforms
- Develop and adopt data practices
- Generate predictive insights from datasets
- Present research at conferences
Perks/Benefits
- Flexible work options
- Global recognition programs
- Hybrid work options
- Insurance plans
- Onsite work
- Paid parental leave
- Relocation assistance
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Data Engineering | Data Science | Deep learning | Drug development | Feature Engineering | Generative AI | Geometric Deep Learning | Knowledge graphs | LLM Software Stack | Language Models | Large Language Models | Large-scale | Large-scale knowledge graphs | Machine Learning | Model Deployment | Model Validation | Multi-Modal | Multi-Modal Learning | Multi-modal Models | Omics Data | Oncology drug development | PyTorch | Python | Software stack
Education
Roles
AI | AI Scientist | Scientist
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