Bioinformatician Position in Multi-Omics Data Analysis -Heidelberg, Germany

Heidelberg University is inviting applications for a full-time Bioinformatician (f/m/d) position in Multi-Omics Data Analysis and Integration (COMBI-OMICS), starting 1 January 2027.

The position is aimed at a bioinformatics scientist interested in developing reproducible computational workflows, multi-omics integration, and data-driven biological interpretation at the interface of computational biology, experimental core facilities, and biomedical research.

About the Project

COMBI-OMICS (Core-Facility Bioinformatics Integration for Multi-Omics Analyses) is a collaborative initiative involving multiple Heidelberg research core facilities, including metabolomics, proteomics, transcriptomics, spatial profiling, and deep sequencing.

The successful candidate will help build reusable bioinformatics workflows and provide computational support for integrated multi-omics research projects across the Heidelberg life science campus.

Main Responsibilities

The researcher will work on:

  • Developing reproducible workflows using Nextflow/nf-core
  • Analysing metabolomics, proteomics/phosphoproteomics, transcriptomics and spatial profiling data
  • Developing tools for quality control, preprocessing and statistical analysis
  • Performing multi-omics integration, pathway and network analysis
  • Creating automated reports and data visualizations
  • Supporting researchers with study design, analysis and biological interpretation
  • Contributing to publications, SOPs, training resources and funding applications

Requirements

Applicants should have:

  • A PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, Data Science or a related field
  • Strong programming skills in R and/or Python
  • Experience with reproducible computational workflows and software development practices
  • Experience with Nextflow/nf-core or comparable workflow systems such as Snakemake, WDL or CWL
  • Practical experience with at least two types of high-throughput omics data
  • Understanding of experimental design, batch effects and biological variation
  • Strong communication and collaboration skills
  • Excellent English; German is an advantage

Experience with Docker/Apptainer, HPC or cloud computing, multi-omics integration, pathway/network analysis, and open-source software will be an advantage.

Position Details

📍 Location: Heidelberg, Germany
🏛️ Institution: Heidelberg University
💼 Position: Bioinformatician (f/m/d)
🔬 Area: Multi-Omics Data Analysis & Integration
🗓️ Start Date: 1 January 2027
⏱️ Working Hours: Full-time, 39.5 hours/week
💰 Salary: TV-L E13
📅 Contract: 2 years (1 January 2027 – 31 December 2028)
📌 Application Deadline: 18 September 2026

Continuation beyond the initial contract may be possible depending on project development and follow-up funding.

How to Apply

Applicants should submit their application as one single PDF containing:

  • CV
  • Motivation letter
  • Certificates
  • Publication list
  • Contact details of referees

The application should clearly mention your experience with omics data types, statistical/integration methods, programming languages, workflow tools and relevant software. A GitHub profile can also be provided if available.

📧 Application: cos-sekretariat360@listserv.uni-heidelberg.de

Contact: Dr. Gernot Poschet — gernot.poschet@cos.uni-heidelberg.de

Official Information

For complete details and application information, applicants should refer to the official Heidelberg University job advertisement and job-market page.

Application deadline: 18 September 2026

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