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Scientist - Organoid Single-cell Genomics(m/w/x)
Computational analysis of organoid single-cell genomics and multi-omic datasets, comparing in vitro human models to primary tissue. PhD in Bioinformatics or related field and 10+ years genomics data analysis experience required. Supervision of PhD and Master’s students.
Requirements
- Passion for computational biology
- Collaboration skills
- Strong record of high-impact data analysis
- PhD in Bioinformatics, Computational Biology, or related field
- Minimum of 10 years of experience in genomics data analysis
- Expertise in accessible chromatin and multi-omic data integration
- Proven track record of developing computational tools or performing high-impact data analysis
- Excellent social and communication skills
- Fluency in English
Tasks
- Lead computational analyses for single-cell transcriptomics and multi-omic datasets
- Compare in vitro human model systems to primary tissue reference atlases
- Analyze single-cell perturbation datasets to validate disease models
- Oversee and maintain computational resources for the research group
- Supervise and train PhD and Master’s students
- Contribute to and lead manuscript writing for high-priority projects
- Apply knowledge of human neural organoid models to advance research goals
- Collaborate across the institute on multidisciplinary initiatives
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
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- 1201 F. Hoffmann-La Roche AG
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Scientist - Organoid Single-cell Genomics(m/w/x)
Computational analysis of organoid single-cell genomics and multi-omic datasets, comparing in vitro human models to primary tissue. PhD in Bioinformatics or related field and 10+ years genomics data analysis experience required. Supervision of PhD and Master’s students.
Requirements
- Passion for computational biology
- Collaboration skills
- Strong record of high-impact data analysis
- PhD in Bioinformatics, Computational Biology, or related field
- Minimum of 10 years of experience in genomics data analysis
- Expertise in accessible chromatin and multi-omic data integration
- Proven track record of developing computational tools or performing high-impact data analysis
- Excellent social and communication skills
- Fluency in English
Tasks
- Lead computational analyses for single-cell transcriptomics and multi-omic datasets
- Compare in vitro human model systems to primary tissue reference atlases
- Analyze single-cell perturbation datasets to validate disease models
- Oversee and maintain computational resources for the research group
- Supervise and train PhD and Master’s students
- Contribute to and lead manuscript writing for high-priority projects
- Apply knowledge of human neural organoid models to advance research goals
- Collaborate across the institute on multidisciplinary initiatives
Work Experience
- 10 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
About the Company
1201 F. Hoffmann-La Roche AG
Industry
Healthcare
Description
Roche is dedicated to advancing science and ensuring access to healthcare for everyone, with over 100,000 employees globally.
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