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The Institute of Genetic Epidemiology, Medical Center – University of Freiburg is looking for a

Research Assistant for discovering Protein–Trait Associations Through Causal Inference (m/f/d)

The Statistical Genomics Group (Emmy Noether Group Leader: Dr. Pascal Schlosser) at the Institute of Genetic Epidemiology generates new insights into the (patho-)physiology of complex human traits and diseases, which arise from the combination of genetic predisposition and environmental influences. The proposed project is focused on the development and application of phenome-wide Molecular Causal inference Network analysis by integrating pre-computed molecular prediction models (e.g., cis-heritable plasma proteins, gene expression) with genome-wide association data from complex traits. This effort combines data from large biobanks and consortia (e.g., UK Biobank, FinnGen, All of Us, MVP), accounting for ancestry-specific differences and using multiple protein prediction models.

We offer:

  • an exciting job within our highly motivated multidisciplinary team of statisticians, bioinformaticians, and clinician scientists
  • personalized supervision at the forefront of integrative biomedical sciences
  • an international environment
  • Flexible working hours and compensation in accordance with student/research assistant pay scale.
  • employee offers / health offers (e.g. Hansefit)

Your mission:

  • process and harmonize GWAS summary statistics from large biobanks
  • perform GWAS across diverse health traits and ancestries
  • compare results across different models
  • contribute to the development and documentation of an open-source R package that integrates molecular models with GWAS data to enable systematic network-based causal inference
  • result dissemination, visualization and reporting

Your qualifications:

  • a background in computational biology or a related field
  • a Bachelor’s or Master’s degree in bioinformatics / computational biology / mathematics / physics / epidemiology / data sciences or a comparable subject
  • experience in programming (R, Python, …)
  • proficient knowledge in written and spoken English
  • independent, target-oriented working manner
  • strong commitment to research ethics and teamwork
  • good communication skills
The position is initially limited to one year, with a monthly workload ranging from 25 hours/month up to the maximum number of hours permitted for a low-income employment (to be agreed upon).

We look forward to receiving your application, including your possible starting date, by August 10, 2025.

University Medical Center Freiburg 
Institute of Genetic Epidemiology 
Dr. Pascal Schlosser - Group Leader Statistical Genomics
Hugstetter Str. 49, 79106 Freiburg

For further information please contact Dr. Pascal Schlosser:

pascal.schlosser@uniklinik-freiburg.de 

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