Job:Bioinformatican/Data Scientist, Transplant Immunology/Genetics, Medical University of Vienna, Austria
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Location: Medical University of Vienna, Vienna, Austria

Description:

The Department of Nephrology, Medical University of Vienna, is seeking a motivated bioinformatican for a full-time position. Our research focus is in the area of alloimmunity in kidney transplantation with a strong focus on genetic donor recipient incompatibility and changes in the adaptive immune system during alloimmunization. Successful applicants will have the opportunity to join our existing interdisciplinary team of clinicians, lab personnel and statisticians to analyze genotyping and NGS data for identifying genetic alterations associated with kidney transplantation survival.

As bioinformatican you will have the opportunity to:

  • Perform genetic variation analysis using genotyping and NGS data
  • Develop novel bioinformatics pipelines for the analysis of genetic variants in the area of solid organ transplantation
  • Employ statistical models to identify risk factors for post-transplant complications in the prospective Vienna Transplant Cohort
  • Interpret genetic findings in the context of known molecular mechanisms and pathways
  • Validate genetic findings with the support of our existing interdisciplinary team of clinicians, lab personnel and statisticians using orthogonal methods

Your profile:

  • Being self-motivated and having the ability to work independently
  • Strong interest in transplant immunology
  • Degree and experience in bioinformatics or a related field
  • Familiarity with biological databases
  • Good Linux skills are required; experience with at least one HPC environment is of advantage
  • Experience in NGS data analysis (SNP calling from WGS/WES data, …)
  • Proficient in R or Python

The Medical University of Vienna is an equal opportunities employer and we welcome applications from all people. If you are a bioinformatican seeking new challenges in the field of kidney transplant immunology please send your application to Stefanie Tuma (stefanie.tuma[at]meduniwien.ac.at). Successful applicants will be employed initially with a limited-term contract and compensated in accordance with the FWF personnel costs with a strong willingness for overpayment in case of relevant previous work experience.

RiskPrediction NGS SNP ExomeSequencing GeneticRiskScore • 425 views
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