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The Institute for Tropical Medicine at the University Hospital Tübingen and the Eberhard Karls University of Tübingen
4 Tage

Bioinformatician / Computational Virologist Wet Lab(m/w/x)

Vollzeit
AI/ML Job
Keine Angabe
Tübingen

In this role, you will analyze complex sequencing datasets and develop cutting-edge machine learning algorithms for pathogen detection. Your responsibilities will include viral genome reconstruction and mentoring trainees, while contributing to significant public health research projects.

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Anforderungen

  • •MSc or PhD in Bioinformatics, Computational Biology, Molecular Virology, Genomics, Computer Science or related field
  • •Proven experience analysing NGS datasets (Illumina and/or ONT), including metagenomics and WGS
  • •Strong programming skills in Python and/or R, with experience using ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • •Demonstrated proficiency in viral genome assembly, phylogenetics, variant analysis and taxonomic classification
  • •Hands-on experience with wet lab molecular biology: library prep, PCR, sequencing workflows
  • •Familiarity with respiratory viruses, enteric viruses, arboviruses, flaviviruses or viral haemorrhagic fevers
  • •Ability to independently manage projects and collaborate within a multidisciplinary team
  • •Experience with novel virus discovery pipelines (Kraken2/Bracken, MetaPhlAn, Kaiju, Centrifuge, viralDetect, etc.)
  • •Experience working in BSL-2 / BSL-2+ virology settings
  • •Knowledge of phylogenomic analysis, outbreak genomics, molecular epidemiology
  • •Experience with ONT adaptive sampling, long-read error correction and hybrid assemblies
  • •Familiarity with cloud computing (AWS, Google Cloud) and containerization (Docker/Singularity)
Master-Abschluss
ODER
Doktor / Ph.D.

Deine Aufgaben

  • •Analyze whole-genome sequencing (WGS) datasets
  • •Analyze metagenomic datasets
  • •Analyze virome datasets
  • •Analyze amplicon sequencing datasets
  • •Develop machine learning algorithms for pathogen detection
  • •Apply AI algorithms for viral classification
  • •Implement outbreak clustering techniques
  • •Discover biomarkers using computational methods
  • •Perform de novo assembly of viral genomes
  • •Reconstruct viral genomes
  • •Filter contamination from sequencing data
  • •Classify taxonomic data
  • •Implement pipelines for novel virus discovery
  • •Detect low-abundance viral sequences
  • •Integrate clinical, genomic, and immunological datasets
  • •Maintain bioinformatics workflows using Nextflow/Snakemake
  • •Optimize workflows on HPC clusters and cloud systems
  • •Extract nucleic acids from samples
  • •Prepare libraries for Illumina and ONT sequencing
  • •Conduct quality control of sequencing runs
  • •Troubleshoot sequencing issues
  • •Contribute to metagenomic protocol development
  • •Develop enrichment strategies for low-viral-load specimens
  • •Work with public health viruses under biosafety conditions
  • •Support experimental design for viral discovery
  • •Assist in outbreak investigations and research projects
  • •Contribute to international projects like PACE-UP and VG-CARE
  • •Co-author scientific manuscripts
  • •Present research findings at conferences
  • •Engage in capacity-building activities
  • •Mentor PhD and MSc trainees
  • •Provide technical guidance to trainees

Tools & Technologien

PythonRAWSGoogle CloudDockerSingularityKraken2BrackenMetaPhlAnKaijuCentrifugeviralDetectscikit-learnTensorFlowPyTorch

Sprachen

Englisch – verhandlungssicher

Deine Vorteile

Lockere Unternehmenskultur

  • •Collaborative multicultural team

Karriere- und Weiterentwicklung

  • •Opportunities for career development
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens The Institute for Tropical Medicine at the University Hospital Tübingen and the Eberhard Karls University of Tübingen erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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