Postdoc in Computational Neurobiology (f/m/x) - Integrative Multi-Omics Analyses in Alzheimer's Disease
Full time39 h/week
Neuherberg near Munich
Home Office Options
We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.
Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.
Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.
This is what drives us. Why not join us and make a difference?
The Computational Health Center (CHC) is globally recognized for innovations in data analysis and modeling of biological systems and diseases, anchored at Helmholtz Munich and the Technical University Munich.
The Research Team Computational Neurobiology is participating in several NIH-funded initiatives, including the Accelerating Medicines Partnership for Alzheimer's Disease, and is pioneering integrative metabolomics and multi-omics research in neuropsychiatric and neurodegenerative disorders. The position is part of NIH’s Translational Bioinformatics for Drug Repositioning and Combination Therapy program and funded through a collaborative project with Jan Krumsiek's lab (Weill Cornell Medicine, NYC, USA).
"We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.
Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization."
Your tasks
- Collecting, processing, and harmonizing large-scale omics-based (association) data and integration into the AD Atlas Neo4j database.
- Further development and extension of the online user interface at www.adatlas.org, including tools for computational drug repositioning and suitable visualization of results thereof.
- Identification of disease-relevant genes using graph-, machine/deep learning-, and integrative omics-based approaches to be utilized as seeds for network-based in silico drug repositioning.
- Conducting multi-omics analyses of drug signatures: transcriptome, proteome and particularly metabolome.
- Applying advanced AI-based methods for network transformation to enable simultaneous prioritization of candidate drugs across omics.
- Conceptualizing and implementing unified scoring schemas for weighting edges (intra-/inter-omic and trait associations) integrated from heterogeneous sources.
Access to several international research consortia consisting of a team of experts across disciplines will provide you with many opportunities to expand your network, learn from colleagues, and disseminate your own research at international conferences. Our team in Munich is passionate, dynamic, international and very supportive. We look forward to getting to know you!
Your profile
We are looking for a postdoctoral scholar (f/m/x) motivated to enable the whole research community to leverage multi-omics data through rigorous data curation, integration, and provision at the intersection of neuroscience and data science/machine learning. Ideal candidates will have:
- A PhD in computational biology, biostatistics, computer science, neuroscience, or a related field.
- Strong programming and data visualization skills (R and Python).
- Experience in working with large-scale omics data (preprocessing, QC, annotation).
- Knowledge of statistics in the context of biomedical research (especially association analyses with molecular data/biomarkers).
- Excellent communication and presentation skills, including experience in communicating across discipline boundaries.
- Enthusiasm and a high level of motivation for scientific work and reproducible research.
Desirable qualifications
- Experience in using the Neo4j graph database management system and in developing R Shiny apps is an advantage.
- Background and strong interest in neuropsychiatric/neurodegenerative diseases (particularly Alzheimer's).
Benefits
Since 2005, we hold the TOTAL E-QUALITY award for exemplary action in the sense of an equal-opportunity organizational culture.
Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality.
The Diversity Charter has set itself the goal of promoting diversity in the world of work. By signing the charter, we commit ourselves to create an appreciative working environment for all employees.
If you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). This position is for a fixed term until 31.5.2026.
We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
