Postdoctoral position as Application Scientist (f/m/d)

1 Stellenangebot ab sofort Bewerbungsphase endet am 06.09.2026 Vollzeit Stellenangebote in Göttingen

Universitätsmedizin Göttingen I UMG

... sorgen für Gesundheit und Lebensqualität!

Robert-Koch-Straße 40
37075 Göttingen

Sonstige Berufe

Jetzt bewerben!

My research group at the University Medical Center Göttingen (UMG) investigates cancer metabolism and metabolic plasticity during metastatic progression. My research focuses on identifying metabolic vulnerabilities in pancreatic cancer and other entities across the different stages of the metastatic cascade. To uncover novel therapeutic targets for organ metastasis, we employ state-of-the-art technologies, including in vitro and in vivo CRISPR screening approaches. In addition, my laboratory integrates comprehensive metabolomics and lipidomics analyses of cancer cells, tumor tissues, and other biological samples to characterize dynamic metabolic adaptations and capture the mechanisms underlying metabolic plasticity during cancer progression. Funding for this position is provided by the “UMG2032 - Excellence through Focus” project, funded by zukunft.niedersachsen, the joint science funding program of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation.

Ihre Aufgaben

Maintaining and operating LC/MS equipment (Orbitrap System), troubleshooting technical difficulties and running the sample analysis pipeline
Optimize protocols for metabolomics and bring forward new method development to analyze small molecules (polar and unpolar)
Processing, extracting and analysis of different biological samples (e.g. tissue samples, cell culture samples, plasma) for metabolomics and lipidomics
Experience with stable isotope labeling is a prerequisite
Interpret metabolic pathway alterations to answer biological questions
Manage sample submission, tracking, data organization, and laboratory information management systems for the analysis pipeline
Stay current with emerging technologies and methodologies in metabolomics/ lipidomics and prepare detailed technical reports and SOPs
Present and communicate research results internal scientific meetings

Ihre Qualifikationen

You are a curious and enthusiastic scientist who can work independently but also in a team
Extensive hands-on experience with LC-MS/MS systems and strong knowledge of MS principles;
Experience with metabolomics data processing software (e.g., El-MAVEN, Compound Discoverer, LipidSearch)
Knowledge of metabolic pathways and biochemistry is a prerequisite
Proficiency in bioinformatics (e.g. PCA, MVA, limma and more), big data management and data visualization including pathway analysis tools (MetaboAnalyst, Cytoscape)
Experience with other 'omics platforms (proteomics, genomics, transcriptomics) is an advantage
Communicate effectively within the team, internal and external collaborators, clinicians and other scientists
Strong analytical and problem-solving skills with strong attention to detail
Applicants should hold a PhD in the life sciences, such as Biology, Medical Biology, Biochemistry or a related subject
Fluent English language skills (written and spoken) are required

Wir bieten

You will work in a high-impact research field with biomedical relevance embedded in the collaborative environment of the Göttingen Campus including several supportive facilities and inspiring research consortia
Small, international and diverse research group with a strong team spirit and an open-minded, collaborative and respectful working atmosphere
The UMG is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals
We further strive for gender and diversity equality. We welcome applications from all backgrounds

How to apply
We are looking forward to receive your applications including a motivation letter, a CV, certificates and contact details for at least two references compiled as a single PDF via the system. If you have any questions regarding the advertised position, do not hesitate to contact Dr. Felix Vogel (felix.vogel@med.uni-goettingen.de) for further information.

Wir freuen uns auf Ihre Bewerbung!

Bitte im Betreff der Bewerbung folgende Referenznummer angeben: 3028