CareerPlan

PhD Student in Computational Biology/Bioinformatics

München, BAYERNFull-time2026-09-28 → 2026-10-08
On-site

Core

Investigate fundamental questions in cancer biology through the analysis and integration of large-scale transcriptomic, genomic, and functional genomics datasets.

Role type

PhD Student in Computational Biology/Bioinformatics

Builds

Multi-dimensional data integration to interrogate biological systems in their full complexity

Domain

Cancer research, genomics, molecular biology

Deliverable

research

Required skills

computational biology, bioinformatics, statistical methods, R, Python, Linux/Unix, Bash scripting, transcriptomics, genomics, machine learning, deep learning

Preferred skills

CRISPR, transposon tools, multi-omics data integration, non-coding RNA biology

Technologies

R, Python, Linux, Unix, Bash, CRISPR, transposon tools

Responsibilities

Develop and apply genetic technologies for high-throughput applications in cells and mice; create and integrate multi-dimensional data; pursue an independent research project; collaborate closely with experimental and computational researchers

Seniority

PhD Student, research-focused