PhD Scholarship: Isoform-Level Omics Analytics

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 290,000 - 379,000; Full time

Job summary

DTU Health Tech seeks an enthusiastic PhD student in bioinformatics to work on isoform-level analysis of omics data, combining method development with applied research. You will join the Isoform Analysis group in the Section for Bioinformatics at DTU, collaborating across researchers while receiving strong supervision and autonomy to pursue impactful projects.

A two-year Master’s degree in bioinformatics or equivalent is required, with experience in R and Python, single-cell RNA-seq analysis,

Qualifications

• Excellent programming skills in R and Python.
• Experience in the applied analysis of single-cell RNA-sequencing data, evidenced by peer-reviewed publications.
• Experience in developing, benchmarking, and validating bioinformatics tools and computational methods.
• Applied experience with isoform analysis using transcriptomics and proteomics data.
• Experience with reproducible computational research, including version control, Unix/Linux environments, and HPC.

Responsibilities

• Work on isoform-level analysis of omics data through method development and applied analysis.
• Collaborate with the Isoform Analysis group in the Section for Bioinformatics at DTU.
• Contribute to data integration and interpretation to advance DTU Health Tech research goals.

Skills

R

Python

Single-cell RNA-seq analysis

Bioinformatics tool development

Reproducible research

Education

Master's degree in bioinformatics or equivalent

Two-year Master’s degree (120 ECTS) in bioinformatics

Tools

Unix/Linux

HPC

Git

Docker

Job description

DTU Health Tech seeks an enthusiastic PhD student in bioinformatics to work on isoform-level analysis of omics data, combining method development with applied research. You will join the Isoform Analysis group in the Section for Bioinformatics at DTU, collaborating across researchers while receiving strong supervision and autonomy to pursue impactful projects.

A two-year Master’s degree in bioinformatics or equivalent is required, with experience in R and Python, single-cell RNA-seq analysis,