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Nr18 Pathologie, Kennzahl: 3584/23

An der Medizinischen Universität Wien ist am Klinischen Institut für Pathologie mit der Kennzahl: 3584/23, voraussichtlich ab 30. Mai 2023 eine Stelle mit einem Beschäftigungsausmaß von 40 Wochenstunden mit einem:einer Assistent:in (postdoc) zu besetzen.

Das monatliche Mindestentgelt für diese Verwendung beträgt derzeit Euro 4.351,-- brutto (14x jährlich) und kann sich eventuell auf Basis der kollektivvertraglichen Vorschriften durch die Anrechnung tätigkeitsspezifischer Vorerfahrungen sowie sonstige mit den Besonderheiten des Arbeitsplatzes verbundene Entgeltsbestandteile erhöhen.

Als eines der führenden universitären Zentren in Europa bieten wir spezielle Nachwuchsförderung in wissenschaftlicher Forschung und Lehre an.

Das Arbeitsverhältnis endet nach Ablauf von 2 Jahren.

Anstellungserfordernisse: Abgeschlossenes Studium der (Medizinischen) Bioinformatik mit facheinschlägigem Doktorat. Qualifikation in Forschung und Lehre. Die fremdenrechtlichen Anstellungserfordernisse bei Nicht-EU-Bürger:innen müssen gewährleistet sein.

Gewünschte Zusatzqualifikationen: Erfahrung in Biomedizinischer Grundlagenforschung.

Die Medizinische Universität Wien strebt eine Erhöhung des Frauenanteils insbesondere in Leitungsfunktionen und beim wissenschaftlichen Personal an und fordert deshalb qualifizierte Frauen ausdrücklich zur Bewerbung auf. Frauen werden bei gleicher Qualifikation vorrangig aufgenommen.

Die Informationen gemäß Datenschutz-Grundverordnung finden Sie unter

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Kennzahl: 3584/23

Ihre aussagekräftige Bewerbung richten Sie bitte mit der Kennzahl: 3584/23 bis 24. Mai 2023 an:
oder postalisch an:
Medizinische Universität Wien
Abteilung Personal und Personalentwicklung
1090 Wien, Spitalgasse 23


                                                         Position of a Bioinformatician
                         at the Department of Pathology at the Medical University of Vienna

We seek to fill the position of a Bioinformatician/Data Scientist (Post-doctoral Scientist level) at the Department of Pathology at the Medical University of Vienna (MedUni Vienna) ( to work at the interface between basic and translational research and diagnostic applications. She/he will support the Renal Research Group headed by Professor Kain working on mechanisms of autoimmunity and will contribute to several existing projects and drive or participate in the planning of new ones. The work will include data mining and integration, data processing and interpretation and statistical analysis. Although the successful candidate will become a key member of the group, she/he will be offered the opportunity to develop their own research interest and will join a rapidly enlarging community of bioinformaticians at MedUni Vienna in a highly collaborative environment.

As member of one of the biggest academic diagnostic Pathology Departments in Europe, the candidate is also expected to develop bioinformatics tools for the routine molecular pathology laboratory that is currently extending its facilities and help the members of the laboratory with the development of diagnostic panels as well as the analysis of results from diagnostic specimen, such as database and informatics work (especially those related to NGS data).

Expected starting date: May 30th, 2023, for up to 2 years.

Salary: The gross salary for 40 hours per week is currently Euro 4.351,-- (14x per year) and can possibly be increased on the basis of the collective agreement regulations through the crediting of job-specific previous experience and other remuneration components associated with the special features of the job.

Job Outline

  • To be capable of carrying out independent research, with a high degree of autonomy, subject to the supervision and direction of the Department lead.
  • To be responsible for the delivery of core bioinformatics including the development, testing, validation and implementation of analytical pipelines required to analyse NGS data for a broad range of clinical diagnostic and research applications, such as targeted and exome sequencing as well as copy number analysis.
  • To be responsible for the development, testing, validation and implementation of bioinformatics tools required to analyse data from other relevant technologies. 
  • To be responsible for the safe and effective use of high performance compute infrastructure.
  • To be aware of and address the literature and developments nationally and internationally in bioinformatics relevant to genetics laboratories.
  • To develop bioinformatics tools, pipelines and processes to acceptable standards of quality and accuracy suitable for the analysis and interpretation of NGS data for a broad range of clinical diagnostic and research applications. 

Background, Experience and Skills

  • PhD degree or equivalent in Bioinformatics, Biomedicine or similar including demonstrated strong statistical analysis and programming components;
  • Highly self-motivated with strong analytical and problem-solving ability, excellent presentation, verbal, written & communications skills, proven organisational skills;
  • Ability to work independently under the direction of senior staff; effective team worker and ability to give technical advice and training to other staff;
  • Knowledge of the principles of molecular genomics techniques and of basic molecular biology techniques;
  • Experience in
    • bioinformatics and familiarity with NGS pipelines including analysis of genomic sequence data using appropriate bioinformatic software,
    • analysis and interpretation of microarray and NGS data: WGS, Exome-seq, RNA-seq, ChIP-seq, Metagenomics,
    • development, testing and maintenance of novel algorithms
  • Track record of working with high performance computing clusters, bioinformatic analysis pipelines and version control systems;
  • Proficiency in R, Linux, Python or Perl, bioinformatics experience with Bioconductor, samtools, GATK, and other widely used software, good knowledge of Linux command line and BASH scripting;

Considered desirable

  • Experience in project management;
  • Track record in analysis of proteomics data;
  • Experience in image analysis;
  • Experience in Metagenomics;
  • Experience in Spatial transcriptomics.

For further information please contact Renate Kain, Head of Department (

The Medical University of Vienna aims to increase the proportion of women, especially in management positions and among scientific staff, and expressly encourages qualified women to apply.

Please send a motivation letter and a signed CV stating the reference number 3584/23 to or to the Department of Human Resources and Human Resources Development of the Medical University of Vienna, Spitalgasse 23, 1090 Wien, Austria, at latest by May 24th, 2023.