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The department contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Ni et al., Cell Metabolism, 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023). is currently coordinating the EU-funded consortium MiCCrobioTAckle (), the BMBF-funded consortium PerMICCion (), and is an active participant in the EU-funded consortia FOODGUARD and NUTRIMMUNE, the Cluster of Excellence 鈥淏alance of the Microverse鈥� (), and the CRC/Transregio 124 鈥淧athogenic Fungi and Their Human Host: Networks of Interaction鈥� () funded by the Deutsche Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation. We are looking for an excellent and enthusiastic postdoc scientist in the fields of metagenomics and/or big data to map the human gut microbiota-diet interactome. The aim of the project is to apply metagenomic-based bioinformatic approaches and AI to designing computational roadmaps that can scale to mechanistically link thousands of small dietary molecules with unknown biotransformation routes and hundreds of bacteria through their bacterial genes and assemble the first database of microbiome interactions with metabolism of dietary components. In this project, you will contribute to our vision of taking personalized nutrition truly to a micro level of precision. The candidate will also have the opportunity to contribute to several national and international research projects focused on the role of the microbiome in globally significant diseases. Together with renowned scientists and supported by an excellent infrastructure, you will have the opportunity to contribute to a healthier and fairer society. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Your profile:

• Doctoral degree in systems biology, computational biology, bioinformatics, computer science, or a related discipline
• A strong interest in conducting collaborative research on the topic outlined above is paramount
• Candidates are expected to be interested in working at the boundaries of several research domains
• Expertise in the analysis of metagenomics and biological high-throughput data
• Knowledge of statistical methods in the context of biological systems
• Proficiency with programming (Python, Perl, C++, R)
• Well-developed collaborative skills

We offer:

• The successful candidate will be hosted in the of of the Leibniz-HKI in an international, dynamic team and an 鈥渙pen-door鈥� atmosphere with access to state-of-the-art computational resources.
• The Leibniz-HKI provides an international and multi-disciplinary environment with strong expertise in the proposed research field. The group consists of approximately 15 members at different levels of seniority.

Salary is paid according to German TV-L (salary agreement for public service employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply.

Further information:

Applications: