PhD candidate (f/m/x) - Bioinformatics

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 Helmholtz Diabetes Center aims at understanding the molecular bases underlying all forms of diabetes, its heterogeneity and risk factors, including obesity as well as its complications and comorbidites. We combine world-leading basic research with clinical intervention and cohort studies to develop tomorrow's diabetes precision medicine.

The Institute for Diabetes and Obesity investigates the diseases of the metabolic syndrome by means of systems biological and translational approaches on the basis of cellular systems, genetically modified mouse models and clinical intervention studies.

The Computational Discovery Research group is at the cutting edge of applied computational biology and systemic metabolism. Collaborating closely with our experimental partners, we harness the power of machine learning to decode regulatory interactions from genes to metabolism to the environment.

We are excited to invite a highly motivated and talented individual (f/m/x) to join our dynamic team as part of the HyperMet consortium. You will be at the forefront of developing and applying novel metabolomics data analysis and integration methods to analyze advanced metabolomics data such as arterio-venous sampling, fluxomics and spatial-multi-omics data. Prof. Matthias Tschöp (Dr. Med., Dr. hc.), CEO of Helmholtz Munich:

"We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.

Ihre Aufgaben

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

• Implement analysis pipelines for metabolic flux analyses

• Develop methods for advanced metabolomics data analysis

• Implement and develop multi-omics data analysis methods

• Train and support team HyperMet collaborators in basic metabolomics data analysis

• Closely collaborate and work with various projects within the HyperMet consortium

Ihr Profil

• Master's degree in data science, bioinformatics, physics, chemistry, computational biology, or a related discipline

• High motivation, curiosity, and commitment to scientific excellence with a genuine interest in quantitative biology (especially in metabolomics and multi-omics data)

• Strong programming skills

• Profound knowledge of statistics with experience in data analysis/modeling of large biological multi-omics data

• Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment

• Proficient English language skills (both written and spoken)

Wir bieten Ihnen

• Scientific Training: Helmholtz Munich Graduate School

• Career counseling: Career Center for PhD candidates

• Recreation: 30 days annual leave, flexi days, plus public holidays

• Health Promotion: Sports, company doctor, mental health initiatives

• International Staff Service: Support with the relocation and integration process in Germany