Roche
Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche
Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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)
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Other Benefits
- Full-time basis
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RORoche
Internship for Students of Computational Biology, Computational Chemistry, Applied Mathematics(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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)
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Other Benefits
- Full-time basis
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Not a perfect match?
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Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
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