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Scientist - AI & ML for Protein and Antibody Engineering(m/w/x)
Developing generative models for protein/antibody structure and function prediction in large molecule drug discovery. Expert protein/antibody structure-function understanding required. Collaboration between experimental and computational experts.
Anforderungen
- PhD in Computational Biology, Protein Engineering, Machine Learning, Computer Science, or related discipline
- Expert-level understanding of protein and antibody structure–function relationships
- Strong hands-on experience in machine learning and deep learning
- Proven ability to work at application and implementation levels
- Advanced programming expertise in Python and deep learning frameworks
- Strong scientific track record with first-author publications
- Excellent communication skills and collaborative mindset
- Experience with molecular dynamics simulations is a plus
Aufgaben
- Apply Machine Learning methods to complex research questions in Large Molecule Drug Discovery
- Develop and implement generative models to predict protein structure and function
- Collaborate with cross-functional teams to integrate and clean biological data
- Design and engineer new proteins and antibodies using advanced computational techniques
- Facilitate collaboration between experimental scientists and computational experts
- Contribute to scientific innovation through publications and presentations
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Noch nicht perfekt?
- RocheVollzeitnur vor OrtJuniorBasel
- 1201 F. Hoffmann-La Roche AG
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PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
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Intern(m/w/x)
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AI/ML Data Scientist(m/w/x)
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Scientist - AI & ML for Protein and Antibody Engineering(m/w/x)
Developing generative models for protein/antibody structure and function prediction in large molecule drug discovery. Expert protein/antibody structure-function understanding required. Collaboration between experimental and computational experts.
Anforderungen
- PhD in Computational Biology, Protein Engineering, Machine Learning, Computer Science, or related discipline
- Expert-level understanding of protein and antibody structure–function relationships
- Strong hands-on experience in machine learning and deep learning
- Proven ability to work at application and implementation levels
- Advanced programming expertise in Python and deep learning frameworks
- Strong scientific track record with first-author publications
- Excellent communication skills and collaborative mindset
- Experience with molecular dynamics simulations is a plus
Aufgaben
- Apply Machine Learning methods to complex research questions in Large Molecule Drug Discovery
- Develop and implement generative models to predict protein structure and function
- Collaborate with cross-functional teams to integrate and clean biological data
- Design and engineer new proteins and antibodies using advanced computational techniques
- Facilitate collaboration between experimental scientists and computational experts
- Contribute to scientific innovation through publications and presentations
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Über das Unternehmen
1201 F. Hoffmann-La Roche AG
Branche
Pharmaceuticals
Beschreibung
Roche is dedicated to advancing science and ensuring access to healthcare for everyone, with over 100,000 employees globally.
Noch nicht perfekt?
- Roche
Machine Learning Scientist(m/w/x)
Vollzeitnur vor OrtJuniorBasel - 1201 F. Hoffmann-La Roche AG
Scientist / Senior Scientist in Cheminformatics(m/w/x)
Vollzeitnur vor OrtSeniorBasel - Roche
PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBasel - Roche
Intern(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
AI/ML Data Scientist(m/w/x)
Vollzeitnur vor OrtSeniorBasel