Cross-Disciplinary AI Engineer – Discovery
EUR 67K-97K (estimate) Mid-level Full Time
Tasks
- Build and apply AI and machine learning models
- Collaborate cross functionally with scientific teams
- Create tools and data visualizations
- Develop data pipelines and analytical frameworks
- Establish reproducible responsible AI best practices
- Evaluate and communicate model performance
- Integrate multimodal biological datasets
- Monitor emerging AI methods and apply to discovery research
- Partner with experimental scientists
- Translate wet lab problems into data science opportunities
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Artificial Intelligence | Bayesian Methods | Bayesian optimization | Classification | Clustering | Clustering Algorithms | Computer Vision | Data Pipelines | Data Quality | Data Science | Flow Cytometry | Image Processing | Knowledge graphs | LLM workflows | Language Models | Large Language Models | Machine Learning | Metadata Management | Model Evaluation | Multimodal Learning | Predictive Modeling | Python | RNA Sequencing | Representation Learning | Reproducibility | Responsible AI | Single-cell | Single-cell RNA-sequencing | Vector characterization
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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