Research Fellow (Bioinformatician / Computational Biologist / Systems Biologist / Biostatistician) (m/f/d)

  • Universitätsklinikum Freiburg
  • 79106 Freiburg im Breisgau, Germany
  • 20/04/2022
Full time Data Science Data Analytics Statistics Biostatistics

Job Description

Full job description

In the Institute of Genetic Epidemiology at the University Medical Center Freiburg we are looking to hire from June 1st, 2022 or later a

Research Fellow (Bioinformatician / Computational Biologist / Systems Biologist / Biostatistician) (m/f/d)

or someone with a comparable biomedical education
The University of Freiburg, founded in 1457, belongs to the best universities of Germany. Freiburg has a large international student body and is located in the Black Forest with a 30-minute drive to both Switzerland and France. The Institute of Genetic Epidemiology is a research-oriented institute with a focus on research related to kidney function and disease. Collaborations with many national and international partners exist.

We offer you:

  • work in an interdisciplinary team, together with medical doctors, experimental and computer scientists, epidemiologists, and statisticians
  • multiple opportunities for continuing education and the development of an independent research career
  • candidates should already be authorized to work in Germany; participation in international scientific conferences is possible

Primary duties:

  • analysis of high-throughput omics data with the goal of identifying genetic risk factors for kidney diseases (funded collaborative research center grant)
    o statistical analysis of genome-wide association study data
    o analysis of sequencing data from whole exome or whole genome sequencing or RNA-seq
    o analysis of data from other high-throughput approaches and network analysis
    o staying up-to-date with (and where relevant implementing) the latest tools and datasets
  • prodiving consultation to collaborators regarding the collection, analysis and visualization of experimental data
  • writing analysis plans, development of pipelines to automate recurrent tasks, executing the analyses, and visualizing and summarizing the results
  • participation in the preparation of research grants, reports and publications
  • participation in international research collaborations

Required qualifications:

  • Master's degree or PhD in bioinformatics, statistics, computational biology, computer science, or a related field
  • proficiency in R and at least one of Python, Perl, Bash or other scripting languages
  • interest in genetics, epidemiology, and big data analysis
  • good knowledge of English (spoken and written)
  • be able to work independently in an interdisciplinary research team (locally and internationally), while engaging in regular exchange with group and project members
  • be able to translate the biological questions into computational problems, manage expectations of collaborators, prioritize and distribute tasks in coordination with other bioinformaticians
  • be diligent in keeping code and documentation clean and updated

Preferred qualifications:

  • working knowledge of statistical genetics
  • experience working in Linux environment
  • experience with Git and R Shiny
  • German knowledge is helpful but not necessary
The position is a full-time position and can be filled for up to 2.5 years, with the option for renewal.

Please submit your application online via "Apply Now" button including the following documents until May 31st, 2022:

  • motivation letter which describes why you would be a suitable candidate, including your possible starting date
  • CV
  • copy of graduation certificates
  • copy of University grades
  • any other relevant documents
University Medical Center Freiburg
Institute of Genetic Epidemiology
Prof. Dr. Anna Köttgen - Director
Hugstetter Str. 49, 79106 Freiburg

For further information please contact:

Burulca Göcmen
burulca.goecmen@uniklinik-freiburg.de
Website: www.uniklinik-freiburg.de/genetische-epidemiologie
General information: Salary is assigned according to a pay scale. Unless prevented by operational or legal reasons, full-time positions are generally open to those wishing to job share. Where two candidates are equally suitable for a post, severely disabled candidates are given priority. Employment decisions are made by the Personnel Department.