PhD Scholarship in Isoform-level Omics Analysis & Tool Dev

DTU; Denmark; Remote; DKK 469,000 - 536,000; Full time

Job summary

DTU is seeking a PhD student in bioinformatics to focus on isoform-level analysis of omics data, combining method development with applied work. You will join the Isoform Analysis group within the Section for Bioinformatics at DTU and work closely with researchers to advance isoform-level insights.

The candidate will contribute to reproducible research, work with large omics datasets, and engage in publications.

Qualifications

• Two-year master's degree in bioinformatics or equivalent.
• Excellent programming skills in R and Python.
• Experience in applied analysis of single-cell RNA-sequencing data.
• Experience developing, benchmarking and validating bioinformatics tools.
• Applied experience with isoform analysis using transcriptomics and proteomics data.
• Experience with reproducible computational research, including version control, Unix/Linux environments, and HPC.
• Experience collecting and analyzing large and complex biological datasets.

Responsibilities

• Perform isoform-level analysis of omics data through method development and applied analysis.
• Develop and benchmark bioinformatics tools and computational methods.
• Collaborate with the Isoform Analysis group and DTU Health Tech researchers.
• Communicate findings and contribute to publications and theses.

Skills

R and Python programming

single-cell RNA-seq analysis

bioinformatics tool development

reproducible research (version control

large datasets integration

Education

Master's degree in bioinformatics

Tools

Unix/Linux HPC

Job description

DTU is seeking a PhD student in bioinformatics to focus on isoform-level analysis of omics data, combining method development with applied work. You will join the Isoform Analysis group within the Section for Bioinformatics at DTU and work closely with researchers to advance isoform-level insights.

The candidate will contribute to reproducible research, work with large omics datasets, and engage in publications.