Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du bioinformatische Workflows für verschiedene Omiken und implementierst diese mit Nextflow sowie R/Python, während du Forscher bei der Datenanalyse und biologischen Interpretation unterstützt.
Job Technologien
Deine Rolle im Team
- You develop, implement and maintain reproducible, modular bioinformatics workflows for metabolomics, proteomics/phosphoproteomics, transcriptomics, targeted expression and spatial profiling data using Nextflow/nf-core and community best practices.
- Reuse, customize and contribute to the nf-core ecosystem by adapting existing modules and developing new components where required based on existing R- or python packages.
- Establish harmonized metadata standards, project intake procedures and cross-platform quality control together with the participating Core Facilities.
- You create a structured toolbox for quality control, preprocessing, statistical analysis, multi-omics integration and biological interpretation, including matched-sample, pathway-level, prior-knowledge-informed, network-based and multi-view approaches.
- You translate workflows into automated, user-facing reports with clear visualizations, interpretation, documentation and transparent decision points.
- You advise and support researchers from study design, feasibility and data handover through statistical analysis and integrated biological interpretation.
- You contribute to selected pilot and user projects, SOPs and training materials, as well as scientific publications and third-party funding applications.
Unsere Erwartungen an dich
Ausbildung
- PhD degree in bioinformatics, computational biology, systems biology, biostatistics, data science or a comparable life-science or quantitative discipline.
Qualifikationen
- A good understanding of experimental design, batch effects, biological variation and the challenges of biomedical or clinical data.
- Strong communication and collaboration skills and genuine motivation to support users in a service-oriented environment.
- High level of self-motivation, reliability and ownership; structured, transparent and solution-oriented working style.
- Fluency in English is required; proficiency in German is an advantage.
Erfahrung
- Strong programming skills in R and/or Python, and experience developing reproducible, maintainable computational workflows using modern software development practices (e.g. Git, testing, documentation, package management).
- Experience in developing or maintaining workflow management systems such as Nextflow (ideally within the nf-core ecosystem) or comparable workflow frameworks (e.g. Snakemake, WDL, CWL).
- Demonstrated experience analysing high-throughput omics data, with expertise spanning at least two molecular data types (e.g. metabolomics, proteomics, phosphoproteomics, transcriptomics or spatial omics).
Unser Angebot
- The remuneration is according to TV-L E13.
- The position is full-time and initially limited to two years, from 01 January 2027 to 31 December 2028.
- COMBI-OMICS is designed as a seed for a sustainable campus-wide bioinformatics service.
- Subject to successful project development and the availability of follow-up funding, a continuation beyond the initial funding period may be possible.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Heidelberg University
Die Universität Heidelberg versteht sich als international ausgerichtete, aus ihrer Tradition die Zukunft mitgestaltende Forschungs- und Lehreinrichtung mit einem vielfaltigen Spektrum an Fächern und Disziplinen. Sie bekennt sich zu ihrer Verantwortung gegenüber Mensch, Gesellschaft und Natur und will ihr Wissen und Können in einer offenen, vorurteilsfreien Haltung gegenüber Menschen und Ideen entwickeln, nutzbar machen und an nachfolgende Generationen weitergeben.
Description
- Gründungsjahr
- 1386
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Bildungswesen
Bioinformatician
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
