Roche
Intern(m/w/x)
VollzeitPraktikumnur vor Ort
Basel
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RORoche
Intern (Machine Learning – RNA Splicing)(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing reproducible pipelines for sequence scoring and integrating state-of-the-art splicing prediction models at a global healthcare research organization. Master's degree in Computational Biology or related field, plus strong Python skills essential. Direct contribution to therapeutic sequence design with cutting-edge predictive models.
Anforderungen
- Master's degree (past 12 months) or current Master's/PhD enrollment in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related field
- Strong Python programming skills
- Experience with ML frameworks (PyTorch or TensorFlow)
- Familiarity with RNA and DNA biology
- Experience with reproducible research workflows (Git, HPC/cloud)
- Strong communication skills
- English proficiency (written and spoken)
- Experience with deep learning for biological sequences
- Knowledge of RNA splicing biology
- Familiarity with AAV gene therapy or RNA therapeutics
- Track record of scientific software development
- Experience operationalizing ML models
- Experience building lightweight user-facing tools
- Non EU/EFTA student university enrollment for internship duration
- Internship as mandatory curriculum part for Non EU/EFTA students
Aufgaben
- Integrate and benchmark state-of-the-art splicing prediction models
- Develop reproducible pipelines for sequence scoring
- Support model-guided design of therapeutic sequence constructs
- Support prioritization of therapeutic sequence constructs
- Contribute to structured benchmarking against experimental data
- Contribute to documentation for researcher adoption
- Contribute to usability for researcher adoption
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Git
- HPC
- Cloud environments
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Vollzeitnur vor OrtJuniorBasel
RORoche
Intern (Machine Learning – RNA Splicing)(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing reproducible pipelines for sequence scoring and integrating state-of-the-art splicing prediction models at a global healthcare research organization. Master's degree in Computational Biology or related field, plus strong Python skills essential. Direct contribution to therapeutic sequence design with cutting-edge predictive models.
Anforderungen
- Master's degree (past 12 months) or current Master's/PhD enrollment in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related field
- Strong Python programming skills
- Experience with ML frameworks (PyTorch or TensorFlow)
- Familiarity with RNA and DNA biology
- Experience with reproducible research workflows (Git, HPC/cloud)
- Strong communication skills
- English proficiency (written and spoken)
- Experience with deep learning for biological sequences
- Knowledge of RNA splicing biology
- Familiarity with AAV gene therapy or RNA therapeutics
- Track record of scientific software development
- Experience operationalizing ML models
- Experience building lightweight user-facing tools
- Non EU/EFTA student university enrollment for internship duration
- Internship as mandatory curriculum part for Non EU/EFTA students
Aufgaben
- Integrate and benchmark state-of-the-art splicing prediction models
- Develop reproducible pipelines for sequence scoring
- Support model-guided design of therapeutic sequence constructs
- Support prioritization of therapeutic sequence constructs
- Contribute to structured benchmarking against experimental data
- Contribute to documentation for researcher adoption
- Contribute to usability for researcher adoption
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Git
- HPC
- Cloud environments
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Noch nicht perfekt?
- Roche
Intern(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Internship: Training and deploying AI/ML protein abundance model predictions(m/w/x)
VollzeitPraktikumnur vor OrtBasel - 1201 F. Hoffmann-La Roche AG
LLM Research Internship for Drug Discovery and Reverse Translation(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Internship in Computational Biology and Medicine - Ophthalmology(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Machine Learning Scientist(m/w/x)
Vollzeitnur vor OrtJuniorBasel