Dein persönlicher KI-Karriere-Agent
2026 Summer/Fall Intern - Machine Learning for Drug Discovery(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Pytorch
- NeurIPS
- ICML
- ICLR
- AISTATS
- UAI
- CVPR
- ACL
Benefits
Lockere Unternehmenskultur
- Personal expression encouraged
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
- Foster creativity
Mentoring & Coaching
- Thrive personally and professionally
Sinnstiftende Arbeit
- Advance science
- Global impact
Sonstige Vorteile
- Empowerment
- High ambitions
Gesundheits- & Fitnessangebote
- Life-changing healthcare solutions
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2026 Summer/Fall Intern - Machine Learning for Drug Discovery(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Pytorch
- NeurIPS
- ICML
- ICLR
- AISTATS
- UAI
- CVPR
- ACL
Benefits
Lockere Unternehmenskultur
- Personal expression encouraged
- Open dialogue
- Genuine connections
- Valued, accepted, and respected
- Foster creativity
Mentoring & Coaching
- Thrive personally and professionally
Sinnstiftende Arbeit
- Advance science
- Global impact
Sonstige Vorteile
- Empowerment
- High ambitions
Gesundheits- & Fitnessangebote
- Life-changing healthcare solutions
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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