Roche
Intern(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche
PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
Basel
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Research on organoid engineering and drug discovery, analyzing high-content datasets from perturbation experiments at a healthcare-focused research institution. Master's student or recent graduate in computational biology or related technical field, with Python and modern ML frameworks proficiency required. Interdisciplinary collaboration with experimental scientists.
Requirements
- Master’s student or recent graduate in computational biology, computer science, machine learning, bioinformatics, or related technical field
- Proficiency in Python and modern ML frameworks
- Knowledge of modern software engineering tools and methodologies
- Strong fundamentals in linear algebra, statistics, and genomics ML
- Excellent communication skills in English
- Skill in data visualization and communicating complex findings
- Drive to tackle biomedical problems and translate ML methods
- Track record of relevant publications or open-source contributions
- Experience applying ML methods to biomedical data
- Experience in single-cell genomics data analysis and computer vision
- Experience working with experimental collaborators
Tasks
- Lead a research project on organoid engineering
- Develop computational methods for drug discovery
- Apply machine learning to human biology questions
- Analyze high-content datasets from perturbation experiments
- Collaborate with experimental scientists to shape research
- Create predictive ML methods for high-throughput screens
- Integrate multimodal imaging and genomics data
- Build foundational models for organoid phenotyping
- Develop predictive methods for cell fate engineering
- Discover causal mechanisms from high-content experiments
- Implement active learning for iterative experimental design
- Publish research findings in academic journals
- Contribute to open-source computational tools
- Advance next-generation human model systems
Work Experience
- approx. 1 - 4 years
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- PyTorch
- TensorFlow
- GitHub
- GitLab
- CI/CD
Benefits
Diverse Work
- Interdisciplinary work environment
Informal Culture
- Personal expression and dialogue
- Inclusive and respectful culture
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
PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
Basel
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Research on organoid engineering and drug discovery, analyzing high-content datasets from perturbation experiments at a healthcare-focused research institution. Master's student or recent graduate in computational biology or related technical field, with Python and modern ML frameworks proficiency required. Interdisciplinary collaboration with experimental scientists.
Requirements
- Master’s student or recent graduate in computational biology, computer science, machine learning, bioinformatics, or related technical field
- Proficiency in Python and modern ML frameworks
- Knowledge of modern software engineering tools and methodologies
- Strong fundamentals in linear algebra, statistics, and genomics ML
- Excellent communication skills in English
- Skill in data visualization and communicating complex findings
- Drive to tackle biomedical problems and translate ML methods
- Track record of relevant publications or open-source contributions
- Experience applying ML methods to biomedical data
- Experience in single-cell genomics data analysis and computer vision
- Experience working with experimental collaborators
Tasks
- Lead a research project on organoid engineering
- Develop computational methods for drug discovery
- Apply machine learning to human biology questions
- Analyze high-content datasets from perturbation experiments
- Collaborate with experimental scientists to shape research
- Create predictive ML methods for high-throughput screens
- Integrate multimodal imaging and genomics data
- Build foundational models for organoid phenotyping
- Develop predictive methods for cell fate engineering
- Discover causal mechanisms from high-content experiments
- Implement active learning for iterative experimental design
- Publish research findings in academic journals
- Contribute to open-source computational tools
- Advance next-generation human model systems
Work Experience
- approx. 1 - 4 years
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- PyTorch
- TensorFlow
- GitHub
- GitLab
- CI/CD
Benefits
Diverse Work
- Interdisciplinary work environment
Informal Culture
- Personal expression and dialogue
- Inclusive and respectful culture
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
Healthcare
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Not a perfect match?
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