Postdoctoral fellow in Bioinformatics (m/w/d)

Gesellschaft für Virologie e.V.; Heidelberg; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

An esteemed research institution in Heidelberg seeks a highly motivated postdoctoral scientist to join the Munschauer Lab. You will engage in a collaborative research project that combines computational biology and systems virology. Responsibilities include implementing machine learning approaches and analyzing complex datasets. Candidates should hold a PhD and possess strong skills in machine learning and bioinformatics. The role offers a dynamic work environment, professional growth opportunities, and benefits such as flexible hours and health promotion programs.

Leistungen

Job-ticket

Active health promotion

Childcare options (crèche and kindergarten)

Qualifikationen

• Strong written and spoken English communication skills.
• Ability to conduct independent research.
• Willingness to work in an international and interdisciplinary environment.

Aufgaben

• Implement advanced machine learning and data integration approaches.
• Analyze and interpret single-cell and multiomics high-throughput sequencing data.
• Collaborate with wet lab scientists and bioinformaticians at national and international levels.

Kenntnisse

Machine learning algorithms

Statistical methodologies

Biological network analysis

Programming in Python

Programming in R

High-Performance Computing (HPC)

Workflow management (Snakemake)

Ausbildung

PhD or equivalent qualification in computational biology, bioinformatics, or related field

Jobbeschreibung

wanted for the next possible date at the Heidelberg University Hospital, Department of Infectious Diseases, Molecular Virology.

The Munschauer Lab at the Centre for Integrative Infectious Disease Research (CIID) is seeking a highly motivated postdoctoral scientist to carry out a collaborative research project at the intersection of computational biology and systems virology. Our laboratory takes a systems biology-inspired approach and combines cutting-edge technologies from the area of mass spectrometry and genomics, together with bioinformatics to understand the molecular interactions between RNA viruses and their hosts.

The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an interdisciplinary and international team of computational and experimental scientists, gaining unique opportunities to develop novel computational tools and pipelines for the analysis and integration of genomic, transcriptomic and proteomic data.

Your tasks

• Implement advanced machine learning and data integration approaches
• Analyze and interpret single-cell and multiomics high-thoughput sequencing data
• Collaborate with leading wet lab scientists and bioinformaticians at the national and international level

Your profile

• PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational or natural sciences
• Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis
• Experience with the analysis and integration of transcriptomic and multiomics data (bulk and single-cell)
• Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake)
• To work accurately and being able to conduct independent research, but also enjoying to work in an international and interdisciplinary environment
• Strong written and spoken English language communication skills

We offer

This opportunity offers a dynamic environment for professional and personal growth, with access to state-of-the-art laboratories and infrastructure, as well as flexible working hours. It also provides networking opportunities and visibility in high-quality national networks. Additionally, there are many university-offered benefits, including a job-ticket, active health promotion, and childcare options (crèche and kindergarten).

Contact & Application

For further information please contact Mathias Munschauer via email.

Applications will be accepted until 31.10.2025 online.

The UKHD is subject to the provisions of the Infektionsschutzgesetz. Therefore, a valid measles immunity certificate is required for all persons employed at the UKHD.

The UKHD embraces diversity and values diversity. Regardless of age, gender, sexual identity, disability, origin or religion, we offer everyone the same opportunities.