Roche
Internship – Machine Learning and Molecular Simulation for Functional Antibody Characterisation(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche
Internship – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing antibody discovery methods inspired by language models for biologic drug discovery. PhD in a technical field with machine learning fundamentals knowledge required. Collaboration across global teams, with opportunities to drive scientific publications and present at conferences.
Requirements
- Enrolled university student in PhD program
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, or related technical field
- Good knowledge of machine learning fundamentals
- Familiarity with language models
- Familiarity with causal representation learning
- Familiarity with unsupervised learning
- Experience with ML on biological data (desired)
- Detailed hands-on experience building neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements company culture and standards
- Mandatory maintained enrollment at university for internship duration
- Non-EU/EFTA citizens: university certificate stating internship is mandatory
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
Tasks
- Develop methods inspired by language models
- Apply unsupervised learning techniques
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive scientific publications
- Present results at internal and external conferences
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pytorch
- Machine Learning
- Language Models
- Causal Representation Learning
- Unsupervised Learning
- Deep Learning Frameworks
- Neural Networks
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 – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Developing antibody discovery methods inspired by language models for biologic drug discovery. PhD in a technical field with machine learning fundamentals knowledge required. Collaboration across global teams, with opportunities to drive scientific publications and present at conferences.
Requirements
- Enrolled university student in PhD program
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, or related technical field
- Good knowledge of machine learning fundamentals
- Familiarity with language models
- Familiarity with causal representation learning
- Familiarity with unsupervised learning
- Experience with ML on biological data (desired)
- Detailed hands-on experience building neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements company culture and standards
- Mandatory maintained enrollment at university for internship duration
- Non-EU/EFTA citizens: university certificate stating internship is mandatory
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
Tasks
- Develop methods inspired by language models
- Apply unsupervised learning techniques
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive scientific publications
- Present results at internal and external conferences
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pytorch
- Machine Learning
- Language Models
- Causal Representation Learning
- Unsupervised Learning
- Deep Learning Frameworks
- Neural Networks
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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