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Bioinformatics Scientist - PhD candidate(m/w/x)
Processing single-cell sequencing and spatial transcriptomics data for human and murine omics datasets at a university hospital. Proven experience with R and Python, plus basic immunology knowledge required. Integration into LIFE@FAU graduate school, with a dedicated thesis mentoring committee.
Requirements
- Master of Science in relevant field
- Basic knowledge of immunology
- Strong background in bioinformatics
- Proven experience with R and Python
- Independent and analytical work ability
Tasks
- Analyze and interpret human and murine omics datasets independently
- Process single-cell sequencing and spatial transcriptomics data
- Perform basic analysis of bulk RNA-seq data
- Interpret and integrate proteomics and metabolomics datasets
- Develop bioinformatic workflows for multimodal data integration
- Collaborate with experimental researchers to generate biological insights
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Mentorship & Coaching
- Integration into LIFE@FAU graduate school
- Thesis mentoring committee
Learning & Development
- Soft and hard skills training
Team Events
- Team building and exchange opportunities
Career Advancement
- Career development support
Purpose-Driven Work
- Publication-oriented research projects
Modern Equipment
- Access to state-of-the-art technologies
Other Benefits
- International conference support
Startup Environment
- Network of internationally renowned collaborators
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Bioinformatics Scientist - PhD candidate(m/w/x)
Processing single-cell sequencing and spatial transcriptomics data for human and murine omics datasets at a university hospital. Proven experience with R and Python, plus basic immunology knowledge required. Integration into LIFE@FAU graduate school, with a dedicated thesis mentoring committee.
Requirements
- Master of Science in relevant field
- Basic knowledge of immunology
- Strong background in bioinformatics
- Proven experience with R and Python
- Independent and analytical work ability
Tasks
- Analyze and interpret human and murine omics datasets independently
- Process single-cell sequencing and spatial transcriptomics data
- Perform basic analysis of bulk RNA-seq data
- Interpret and integrate proteomics and metabolomics datasets
- Develop bioinformatic workflows for multimodal data integration
- Collaborate with experimental researchers to generate biological insights
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Mentorship & Coaching
- Integration into LIFE@FAU graduate school
- Thesis mentoring committee
Learning & Development
- Soft and hard skills training
Team Events
- Team building and exchange opportunities
Career Advancement
- Career development support
Purpose-Driven Work
- Publication-oriented research projects
Modern Equipment
- Access to state-of-the-art technologies
Other Benefits
- International conference support
Startup Environment
- Network of internationally renowned collaborators
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Uniklinikum Erlangen
Industry
Healthcare
Description
Das Medizinische Zentrum für Informations- und Kommunikationstechnik (MIK) betreut die IT-Anforderungen und den Betrieb der zentralen IT-Infrastruktur des Uniklinikums.
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