Roche
Intern (Machine Learning – RNA Splicing)(m/w/x)
Full-timeInternshipOn-site
Basel
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121201 F. Hoffmann-La Roche AG
LLM Research Internship for Drug Discovery and Reverse Translation(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Fine-tuning open-source large language models for pharmaceutical applications, designing evaluation protocols. Master's or PhD program enrollment and hands-on generative AI model training experience required. Structured learning program at global healthcare firm.
Requirements
- Enrollment in a Master’s or PhD program in Computer Science, Computational Linguistics, or a related field
- Strong coding skills in Python and PyTorch
- Hands-on experience with LLM training or fine-tuning frameworks
- Familiarity with RLHF/DPO workflows and human-in-the-loop alignment methods
- Understanding of evaluation metrics for LLMs
- Interest in applying AI to clinical and biomedical domains
- Very good interpersonal and communication skills
- Certificate from the university for Non-EU/EFTA citizens
Tasks
- Collect and create datasets
- Fine-tune open-source LLMs using curated datasets
- Implement and iterate on training pipelines
- Design evaluation protocols for accuracy and safety
- Establish scalable training and evaluation workflows
- Maintain experiment logs and model documentation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Hugging Face Transformers
- Megatron-LM
- HF Smol
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 1201 F. Hoffmann-La Roche AG 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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121201 F. Hoffmann-La Roche AG
LLM Research Internship for Drug Discovery and Reverse Translation(m/w/x)
Basel
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Fine-tuning open-source large language models for pharmaceutical applications, designing evaluation protocols. Master's or PhD program enrollment and hands-on generative AI model training experience required. Structured learning program at global healthcare firm.
Requirements
- Enrollment in a Master’s or PhD program in Computer Science, Computational Linguistics, or a related field
- Strong coding skills in Python and PyTorch
- Hands-on experience with LLM training or fine-tuning frameworks
- Familiarity with RLHF/DPO workflows and human-in-the-loop alignment methods
- Understanding of evaluation metrics for LLMs
- Interest in applying AI to clinical and biomedical domains
- Very good interpersonal and communication skills
- Certificate from the university for Non-EU/EFTA citizens
Tasks
- Collect and create datasets
- Fine-tune open-source LLMs using curated datasets
- Implement and iterate on training pipelines
- Design evaluation protocols for accuracy and safety
- Establish scalable training and evaluation workflows
- Maintain experiment logs and model documentation
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Hugging Face Transformers
- Megatron-LM
- HF Smol
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 1201 F. Hoffmann-La Roche AG 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
1201 F. Hoffmann-La Roche AG
Industry
Pharmaceuticals
Description
Roche is dedicated to advancing science and ensuring access to healthcare for everyone, with over 100,000 employees globally.
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