Deutsches Diabetes-Zentrum DDZ
40225 Düsseldorf - Deutschland
Bioinformatiker/in
Arbeit
Vollzeit
ab 06.03.2026
Beschreibung
The German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at the Heinrich Heine University (HHU) Düsseldorf, is an interdisciplinary research institute that integrates 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 underlying the onset and progression of insulin resistance an...
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The German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at the Heinrich Heine University (HHU) Düsseldorf, is an interdisciplinary research institute that integrates 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 underlying the onset and progression of insulin resistance and type 2 diabetes. In a novel precision medicine approach, skeletal muscle samples from deep-phenotyped donors are analyzed using mass spectrometry based (phospho-)proteomics to investigate individual variations in insulin signaling across different diabetes subtypes (Turewicz et al. Nat. Commun. 2025, 16:1570). We are looking for a highly motivated and talented researcher in the life sciences who is interested in developing into computational biology as a
PhD Student in Computational Biology (m/w/d)
to join our international and collaborative team in an outstanding and competitive scientific environment.
Perform analyses of (phospho-)proteomics and associated clinical datasets, including statistical analysis and visualization of results.
Use and further develop our existing data analysis pipeline for (phospho-)proteomics, donor profiling, pathway mapping and data visualization in the context of diabetes and precision medicine.
Identify regulatory nodes and phosphorylation patterns associated with insulin resistance within insulin-signaling networks across different diabetes subtypes.
Completed degree in biology, biochemistry, medicine, bioinformatics, data science or a related field.
Background in life sciences, cell biology and protein biochemistry.
Computational skills, including basic proficiency in programming (e.g., R, Python) and data analysis.
Independent, creative thinker with a proactive mindset.
High motivation to learn new skills in proteomics data analysis.
Excellent communication skills in English.
Desirable Skills and Experience
Experience in analyzing large-scale omics datasets and/or clinical data.
Knowledge of statistics and/or data analysis using machine learning or AI methods.
Skills in data visualization, data cleaning, and data preprocessing.
Additional programming experience (e.g., C++, SQL, web development, workflow systems).
Knowledge of HPLC, mass spectrometry and proteomics.
Affiliation with the German Center for Diabetes Research (DZD) and the Leibniz Society, providing access to exceptional scientific resources, networks, and opportunities for career development, training, and mentoring.
Support for independent, responsible, and flexible working practices.
An initial contract of 2 years, with an extension envisaged.
Family-friendly working conditions and a strong commitment to equal opportunities. Since May 2011, the DDZ has been certified by the "career and family audit". The provision of §7 (1) of the Part-Time and Fixed-Term Act is taken into account.
Salary according to the collective agreement for the public service of the federal states (TV-L, 65%) in the version applicable in North Rhine-Westphalia.
Preference given to applicants with severe disabilities in cases of equal qualification.
Preference given to women in cases of equal qualification.
PhD Student in Computational Biology (m/w/d)
to join our international and collaborative team in an outstanding and competitive scientific environment.
Perform analyses of (phospho-)proteomics and associated clinical datasets, including statistical analysis and visualization of results.
Use and further develop our existing data analysis pipeline for (phospho-)proteomics, donor profiling, pathway mapping and data visualization in the context of diabetes and precision medicine.
Identify regulatory nodes and phosphorylation patterns associated with insulin resistance within insulin-signaling networks across different diabetes subtypes.
Completed degree in biology, biochemistry, medicine, bioinformatics, data science or a related field.
Background in life sciences, cell biology and protein biochemistry.
Computational skills, including basic proficiency in programming (e.g., R, Python) and data analysis.
Independent, creative thinker with a proactive mindset.
High motivation to learn new skills in proteomics data analysis.
Excellent communication skills in English.
Desirable Skills and Experience
Experience in analyzing large-scale omics datasets and/or clinical data.
Knowledge of statistics and/or data analysis using machine learning or AI methods.
Skills in data visualization, data cleaning, and data preprocessing.
Additional programming experience (e.g., C++, SQL, web development, workflow systems).
Knowledge of HPLC, mass spectrometry and proteomics.
Affiliation with the German Center for Diabetes Research (DZD) and the Leibniz Society, providing access to exceptional scientific resources, networks, and opportunities for career development, training, and mentoring.
Support for independent, responsible, and flexible working practices.
An initial contract of 2 years, with an extension envisaged.
Family-friendly working conditions and a strong commitment to equal opportunities. Since May 2011, the DDZ has been certified by the "career and family audit". The provision of §7 (1) of the Part-Time and Fixed-Term Act is taken into account.
Salary according to the collective agreement for the public service of the federal states (TV-L, 65%) in the version applicable in North Rhine-Westphalia.
Preference given to applicants with severe disabilities in cases of equal qualification.
Preference given to women in cases of equal qualification.
Ref-Nr.: 9770703
Aktualisiert:
14.03.2026
Quelle: Bundesagentur für Arbeit
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weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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