Principal Machine Learning Scientist (all genders)
Tasks
- Accelerate drug discovery using internal and external AI capabilities
- Collaborate with R and D and external partners to integrate AI in biomedical research
- Communicate with stakeholders across biology chemistry and data science
- Design and implement virtual cell and virtual patient models
- Develop evaluate and apply machine learning models for biomolecular design and target discovery
- Integrate multi scale multimodal biological data for simulation and patient stratification
- Publish and present research on biological foundation models and virtual modeling
Perks/Benefits
- Childcare support
- Coaching and mentoring
- Health checks
- Hybrid work flexibility
- Inclusive work environment
- Learning and development opportunities
Skills/Tech-stack
Agentic AI | Bioinformatics | Cell analysis | Digital Twin | Generative Models | Large Scale Data | Large-scale | Machine Learning | Multimodal Learning | Multimodal fusion | Pandas | Patient Stratification | Proteomics | PyTorch | Python | Scikit-learn | Single Cell Analysis | Single-cell | Spatial omics | Transcriptomics
Education
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