Roche
Internship – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche
2026 Summer/Fall Intern - Machine Learning for Drug Discovery(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing causal ML methods for drug discovery, collaborating across global teams. Ph.D. in a technical field and publication record required. Personal expression encouraged, open dialogue.
Requirements
- Pursuing Ph.D. in CS, Statistics, Applied Math, Computational Biology, Physics, related technical field, or equivalent practical experience
- Good knowledge of machine learning fundamentals
- Familiarity with causal representation learning or reinforcement learning
- Experience with ML on biological data desired
- Proven publication record
- Experience contributing to research communities (journals/conferences)
- Detailed hands-on experience building and training neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Enrolled university student in Master's or PhD
- Master's degree completed not longer than 12 months prior to start date
- Non-EU/EFTA citizens: mandatory internship certificate from university
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements culture and standards: Integrity, Courage, Passion
Tasks
- Develop methods inspired by causal ML
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive publications
- Present results at internal and external scientific conferences
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pytorch
- NeurIPS
- ICML
- ICLR
- AISTATS
- UAI
- CVPR
- ACL
Benefits
Informal Culture
- Personal expression encouraged
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
- Foster creativity
Mentorship & Coaching
- Thrive personally and professionally
Purpose-Driven Work
- Advance science
- Global impact
Other Benefits
- Empowerment
- High ambitions
Healthcare & Fitness
- Life-changing healthcare solutions
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
2026 Summer/Fall Intern - Machine Learning for Drug Discovery(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing causal ML methods for drug discovery, collaborating across global teams. Ph.D. in a technical field and publication record required. Personal expression encouraged, open dialogue.
Requirements
- Pursuing Ph.D. in CS, Statistics, Applied Math, Computational Biology, Physics, related technical field, or equivalent practical experience
- Good knowledge of machine learning fundamentals
- Familiarity with causal representation learning or reinforcement learning
- Experience with ML on biological data desired
- Proven publication record
- Experience contributing to research communities (journals/conferences)
- Detailed hands-on experience building and training neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Enrolled university student in Master's or PhD
- Master's degree completed not longer than 12 months prior to start date
- Non-EU/EFTA citizens: mandatory internship certificate from university
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements culture and standards: Integrity, Courage, Passion
Tasks
- Develop methods inspired by causal ML
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive publications
- Present results at internal and external scientific conferences
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pytorch
- NeurIPS
- ICML
- ICLR
- AISTATS
- UAI
- CVPR
- ACL
Benefits
Informal Culture
- Personal expression encouraged
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
- Foster creativity
Mentorship & Coaching
- Thrive personally and professionally
Purpose-Driven Work
- Advance science
- Global impact
Other Benefits
- Empowerment
- High ambitions
Healthcare & Fitness
- Life-changing healthcare solutions
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.
Not a perfect match?
- Roche
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Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
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Intern in structure-based foundation modelling(m/w/x)
Full-timeInternshipOn-siteBasel - 1201 F. Hoffmann-La Roche AG
LLM Research Internship for Drug Discovery and Reverse Translation(m/w/x)
Full-timeInternshipOn-siteBasel