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PhD Student Multi-Omics Biomarker Discovery and Transcriptomics(m/w/x)
Discovering biomarkers using bulk transcriptomics data and analyzing large-scale gene expression datasets. Bioinformatics experience and omics data analysis welcome. Opportunity to pursue PhD with access to large-scale clinical and multi-omics datasets.
Requirements
- Master's degree or equivalent in bioinformatics, computational biology, systems biology, biostatistics, engineering, or mathematics
- Bioinformatics experience and omics data analysis welcome; transcriptome analysis knowledge is a plus
- Programming and data analysis skills advantageous (R and/or Python; HPC environments)
- Enthusiasm for multi-omics data integration and systems medicine
- Excellent English communication and writing skills
Tasks
- Discover biomarkers using bulk transcriptomics data
- Analyze large-scale longitudinal gene expression datasets
- Identify dynamic molecular and epigenetic signatures
- Link signatures to disease progression and treatment response
- Support patient stratification and data-driven clinical decisions
- Identify novel therapeutic targets
- Explore PROTAC-based therapeutic approaches
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- HPC environments
Benefits
Other Benefits
- Limited for three years
- Access to large-scale clinical and multi-omics datasets
Learning & Development
- Opportunity to pursue PhD
- Training in bioinformatics
- Training in systems immunology
- Training in microbiome research
Startup Environment
- Stimulating and supportive scientific environment
Mentorship & Coaching
- Close supervision and mentoring
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PhD Student Multi-Omics Biomarker Discovery and Transcriptomics(m/w/x)
Discovering biomarkers using bulk transcriptomics data and analyzing large-scale gene expression datasets. Bioinformatics experience and omics data analysis welcome. Opportunity to pursue PhD with access to large-scale clinical and multi-omics datasets.
Requirements
- Master's degree or equivalent in bioinformatics, computational biology, systems biology, biostatistics, engineering, or mathematics
- Bioinformatics experience and omics data analysis welcome; transcriptome analysis knowledge is a plus
- Programming and data analysis skills advantageous (R and/or Python; HPC environments)
- Enthusiasm for multi-omics data integration and systems medicine
- Excellent English communication and writing skills
Tasks
- Discover biomarkers using bulk transcriptomics data
- Analyze large-scale longitudinal gene expression datasets
- Identify dynamic molecular and epigenetic signatures
- Link signatures to disease progression and treatment response
- Support patient stratification and data-driven clinical decisions
- Identify novel therapeutic targets
- Explore PROTAC-based therapeutic approaches
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- HPC environments
Benefits
Other Benefits
- Limited for three years
- Access to large-scale clinical and multi-omics datasets
Learning & Development
- Opportunity to pursue PhD
- Training in bioinformatics
- Training in systems immunology
- Training in microbiome research
Startup Environment
- Stimulating and supportive scientific environment
Mentorship & Coaching
- Close supervision and mentoring
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Universitätsklinikum Schleswig-Holstein
Industry
Healthcare
Description
Das Universitätsklinikum Schleswig-Holstein (UKSH) verbindet internationale Spitzenforschung mit interdisziplinärer Krankenversorgung.
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