Cross-Disciplinary AI Engineer – Discovery
EUR 67K-97K (estimate) Mid-level Full Time
Tasks
- Build adapt and apply AI ML models
- Create tools and visualizations for data exploration
- Develop data pipelines and analytical frameworks
- Establish best practices for responsible AI
- Evaluate and communicate model performance
- Integrate multimodal biological data
- Monitor emerging AI methods and identify opportunities
- Partner with experimental scientists
- Translate wet lab problems into AI opportunities
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Bayesian optimization | Classification | Clustering | Computer Vision | Data Pipelines | Data Quality | Data Science | Flow Cytometry | Image analysis | Knowledge graphs | LLMs | Machine Learning | Model Evaluation | Multimodal Learning | Predictive Modeling | Python | RNA-seq | Representation Learning | Reproducibility | Single-cell | Single-cell RNA-seq
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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