Postdoctoral researcher in Computational Metabolomics
The Institute for Biomedicine is seeking a highly motivated researcher to join the Computational Metabolomics team.
The Institute for Biomedicine is home to an international and interdisciplinary team of scientists, students and support staff, integrated in an excellent network of international and national partners. Living and working in Bozen/Bolzano allows you to experience a unique combination of alpine and Mediterranean culture right at the heart of one of the most exciting mountain regions in Europe.
The Institute for Biomedicine is running the Cooperative Health Research in South Tyrol (CHRIS) study, a population-based study on cardiometabolic and neurological health of 13,000 general population subjects  that excels with a high participation rate from complete families. From this population study, targeted (Biocrates p180) and (HILIC) LC-MS-based untargeted metabolomics data are available for 7,500 individuals. The Computational Metabolomics group of the Institute contributes to a variety of software packages, including xcms, MSnbase  and other mass-spectrometry related software . The second strong focus of the group is on the planning of metabolomics experiments and on the analysis of metabolomics data sets generated at the Institute. The successful candidate will hence perform analyses of large-scale metabolomics experiments, contribute to software development and is expected to write scientific articles.
- Analyze large scale targeted and untargeted metabolomics data sets.
- Investigate metabolic profiles in relation to family structure within a population study-based data set.
- Identify metabolic profiles related to health, lifestyle and nutrition.
- Integration of metabolomics and genotype data.
- Annotation and identification of features identified by LC-MS experiments.
- Implement and extend software for the analysis of untargeted metabolomics data.
- Present results and/or software at international conferences.
- Write scientific articles.
- PhD or equivalent with experience in computational biology, bioinformatics, metabolomics, analytical chemistry or a related field.
- Experience in the analysis of LC-MS-based metabolomics data.
- Proficient R-software usage. Software development skills are beneficial.
- Good communication skills; fluent in the English language.
- Team-working ability.
- A one-year full-time position with the possibility of extension (up to 3 years).
- A collaborative work environment with multidisciplinary teams of experts from different fields of biomedical research.
- Access to cutting-edge data and computational resources.
- Attractive living and working conditions.
For more information and how to apply see here