Principal ML Scientist – Predictive Toxicology
Tasks
- Apply federated learning for privacy preserving collaboration
- Collaborate with customers and research partners
- Deploy scalable AI solutions for drug discovery
- Develop machine learning models for molecular AI
- Integrate multi omics and image based screening workflows
- Lead predictive toxicology scientific strategy
- Mentor scientists and build scientific capabilities
- Optimize graph neural network and transformer models
- Translate scientific challenges into AI solutions
Perks/Benefits
- Co-working stipend
- European Office Days
- Fully remote-first
- Generous holiday allowance
- Learning and professional development budget
- Mental health support
- Wellbeing budget
- Work from home budget
Skills/Tech-stack
Cheminformatics | Computational Biology | Cytotoxicity | DILI | Data Privacy | Deep learning | Federated Learning | Genotoxicity | Graph Neural Networks | High Throughput | High Throughput Screening | Image Based Screening | Machine Learning | Molecular AI | Multi-Omics | Neural Networks | RNA Sequencing | Transformer Models
Education
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