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Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Physics-based modeling and de novo computational protein design using deep generative models. Master's degree or PhD enrollment, with protein engineering experience required. Full-time internship with cross-functional team collaboration.
Anforderungen
- Master's degree within last year or enrolled in PhD
- Strong understanding of protein structure and function
- Previous experience in protein engineering or computational protein design
- Strong publication record and research community contribution
- Strong Python programming skills
- Proficiency with deep learning framework (PyTorch, TensorFlow, JAX)
Aufgaben
- Conduct cutting-edge research in physics-based modeling
- Apply machine learning to drug discovery and design
- Collaborate with cross-functional teams on complex problems
- Focus on de novo computational protein design
- Utilize deep generative models in research
- Integrate physics-, chemistry-, and biology-informed methods
- Develop and implement research ideas
- Support wet lab biology and computational modeling
- Drive and sharpen research questions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Sonstige Vorteile
- Full-time basis
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Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Physics-based modeling and de novo computational protein design using deep generative models. Master's degree or PhD enrollment, with protein engineering experience required. Full-time internship with cross-functional team collaboration.
Anforderungen
- Master's degree within last year or enrolled in PhD
- Strong understanding of protein structure and function
- Previous experience in protein engineering or computational protein design
- Strong publication record and research community contribution
- Strong Python programming skills
- Proficiency with deep learning framework (PyTorch, TensorFlow, JAX)
Aufgaben
- Conduct cutting-edge research in physics-based modeling
- Apply machine learning to drug discovery and design
- Collaborate with cross-functional teams on complex problems
- Focus on de novo computational protein design
- Utilize deep generative models in research
- Integrate physics-, chemistry-, and biology-informed methods
- Develop and implement research ideas
- Support wet lab biology and computational modeling
- Drive and sharpen research questions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Sonstige Vorteile
- Full-time basis
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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