Die KI-Suchmaschine für Jobs
PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- JAX
- PyTorch
- TensorFlow
- GitHub
- GitLab
- CI/CD
Benefits
Abwechslungsreiche Aufgaben
- Interdisciplinary work environment
Lockere Unternehmenskultur
- Personal expression and dialogue
- Inclusive and respectful culture
Noch nicht perfekt?
- RocheVollzeitPraktikumnur vor OrtBasel
- F. Hoffmann-La Roche AG
PhD Student in Single Cell Technologies(m/w/x)
Vollzeitnur vor OrtSeniorBasel - 1201 F. Hoffmann-La Roche AG
PhD Student Single Cell Technologies(m/w/x)
Vollzeitnur vor OrtKeine AngabeBasel - 1201 F. Hoffmann-La Roche AG
Scientist - AI & ML for Protein and Antibody Engineering(m/w/x)
Vollzeitnur vor OrtKeine AngabeBasel - 1201 F. Hoffmann-La Roche AG
PhD Student - Immuno-Stem cell Dynamics Lab(m/w/x)
Vollzeitnur vor OrtJuniorBasel
PhD Student - Machine Learning for Biosystems Engineering(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- JAX
- PyTorch
- TensorFlow
- GitHub
- GitLab
- CI/CD
Benefits
Abwechslungsreiche Aufgaben
- Interdisciplinary work environment
Lockere Unternehmenskultur
- Personal expression and dialogue
- Inclusive and respectful culture
Über das Unternehmen
Roche
Branche
Healthcare
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 - F. Hoffmann-La Roche AG
PhD Student in Single Cell Technologies(m/w/x)
Vollzeitnur vor OrtSeniorBasel - 1201 F. Hoffmann-La Roche AG
PhD Student Single Cell Technologies(m/w/x)
Vollzeitnur vor OrtKeine AngabeBasel - 1201 F. Hoffmann-La Roche AG
Scientist - AI & ML for Protein and Antibody Engineering(m/w/x)
Vollzeitnur vor OrtKeine AngabeBasel - 1201 F. Hoffmann-La Roche AG
PhD Student - Immuno-Stem cell Dynamics Lab(m/w/x)
Vollzeitnur vor OrtJuniorBasel