Roche
Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
VollzeitPraktikumnur vor Ort
Basel
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
RORoche
Internship – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing antibody discovery methods inspired by language models for biologic drug discovery. PhD in a technical field with machine learning fundamentals knowledge required. Collaboration across global teams, with opportunities to drive scientific publications and present at conferences.
Anforderungen
- Enrolled university student in PhD program
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, or related technical field
- Good knowledge of machine learning fundamentals
- Familiarity with language models
- Familiarity with causal representation learning
- Familiarity with unsupervised learning
- Experience with ML on biological data (desired)
- Detailed hands-on experience building neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements company culture and standards
- Mandatory maintained enrollment at university for internship duration
- Non-EU/EFTA citizens: university certificate stating internship is mandatory
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
Aufgaben
- Develop methods inspired by language models
- Apply unsupervised learning techniques
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive scientific publications
- Present results at internal and external conferences
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Pytorch
- Machine Learning
- Language Models
- Causal Representation Learning
- Unsupervised Learning
- Deep Learning Frameworks
- Neural Networks
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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- Roche
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VollzeitPraktikumnur vor OrtBasel - Roche
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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
Intern(m/w/x)
VollzeitPraktikumnur vor OrtBasel
RORoche
Internship – Machine Learning for Antibody Discovery from Sequencing Data(m/w/x)
Basel
VollzeitPraktikumVor Ort
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing antibody discovery methods inspired by language models for biologic drug discovery. PhD in a technical field with machine learning fundamentals knowledge required. Collaboration across global teams, with opportunities to drive scientific publications and present at conferences.
Anforderungen
- Enrolled university student in PhD program
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, or related technical field
- Good knowledge of machine learning fundamentals
- Familiarity with language models
- Familiarity with causal representation learning
- Familiarity with unsupervised learning
- Experience with ML on biological data (desired)
- Detailed hands-on experience building neural networks
- Experience with at least one DL framework (preferably Pytorch)
- Keen to build unconventional models
- Knack for getting things to work
- Excellent communication skills
- Excellent collaboration skills
- Excellent interpersonal skills
- Complements company culture and standards
- Mandatory maintained enrollment at university for internship duration
- Non-EU/EFTA citizens: university certificate stating internship is mandatory
- Non-EU/EFTA citizens: continuously enrolled in university program for internship duration
Aufgaben
- Develop methods inspired by language models
- Apply unsupervised learning techniques
- Collaborate with teams in Basel, New York, and San Francisco
- Contribute to and drive scientific publications
- Present results at internal and external conferences
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Pytorch
- Machine Learning
- Language Models
- Causal Representation Learning
- Unsupervised Learning
- Deep Learning Frameworks
- Neural Networks
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 in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Intern in structure-based foundation modelling(m/w/x)
VollzeitPraktikumnur vor OrtBasel - Roche
Intern (Machine Learning – RNA Splicing)(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
Intern(m/w/x)
VollzeitPraktikumnur vor OrtBasel