PostDoc Bioinformatics, Data Science - Proteomics, Diabetes (m/w/d)

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Job description

The German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at the Heinrich Heine University (HHU) Düsseldorf is an interdisciplinary research institute that links basic and clinical sciences to improve prevention, diagnosis and therapy of Diabetes mellitus and its complications.

The Institute for Clinical Biochemistry and Pathobiochemistry (Director: Prof. Dr. Hadi Al-Hasani) investigates the molecular mechanisms of onset and progression of insulin resistance and type 2 diabetes using unique biological models and state-of-the-art instrumentation. The institute participates in the Multi-Omics Data Science (MODS) initiative, funded by the Ministry of Culture and Science (MKW) of the State of North Rhine-Westphalia, which investigates metabolic disorders and the resulting diabetological, hepatological, cardiovascular and neurological clinical manifestations (). The initiative aims to develop novel methods in data science, bioinformatics and AI and to apply them to multimodal data analysis of various disease cohorts across omics levels. For the MODS initiative, we are looking for a highly motivated and talented

Post-doctoral Researcher Bioinformatics / Data Science

with excellent skills, research track record and knowledge in comprehensive analysis of omics data to join our international and collaborative team in an outstanding and competitive scientific environment.
Conduct mass spectroscopy data analyses related to posttranslational protein modifications (e.g. phosphorylation) in insulin resistance and type 2 diabetes.
Improve existing procedures for quantitative measurements and quality control of proteomics data sets.
Develop novel tools for pathway mapping, visualization of proteomics data, signaling cascades in diabetes and use in precision medicine.

Studies and PhD degree in bioinformatics, data science, computer science, statistics or related.
Prior experience in computational analysis of large-scale omics data sets.
Advanced programming skills (e.g. R, Python).
Knowledge in statistical and machine learning / AI methods.
Independent and creative thinking.
Excellent communication skills in English.

Preferred skills and experience:

Visualization of data and results
Further programming skills (e.g. C++, SQL, web programming)
Containerization and cloud computing (e.g. Docker)
Workflow systems (e.g. Galaxy, KNIME, nextflow)
Analysis of mass spectrometry data - esp. in the context of proteomics
Computational analysis of clinical and/or bioimage data (e.g. in the context of medical informatics)

The position is awarded initially for 2 years and an extension of the contract period is envisaged.
Association with the DFG-Research Training Group GRK2576 (vivid.hhu.de), the German Center for Diabetes Research () and the Leibniz PostDoc Network, offering unique access to scientific resources and networks for career development, training and mentoring.
Support towards independent, responsible and flexible work.
Family-friendly working conditions and professional equality. Since May 2011, the DDZ has been certified by the "career and family audit". The provision of section §7 (1) of the Part-Time and Fixed-Term Act is taken into account.
Salary is regulated by the collective agreement for the civil service of the state (TV-L) in the version valid for the state of North Rhine-Westphalia.
Severely handicapped persons will be preferred in case of equal qualification.
Women are given preference for equal qualifications.