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Open position for a PostDoc/PhD student at the ZD.B-Junior Research Group LipiTUM (TV-L, E13, 100%, 3 years).
Project description: We are looking for a skilled and motivated PostDoc/PhD student to contribute to develop and establish computational methods to utilize metabolomics and lipidomics data for medical diagnostics and research. These methods will facilitate knowledge extraction, patient stratification, biomarker discovery and hypothesis generation in a precision medicine framework. We seek strong expertise in the interplay of metabolic pathways and cellular metabolism as well as profound knowledge of omics experimental workflows especially mass-spectrometry. Furthermore, the respective candidate will assist in creating publicly available online-resources such as databases as well as web-applications for standardized lipidomics and metabolomics data analysis in the context of medical diagnostics and biomarker discovery. This includes foremost the translation of computationally acquired insights into a general understanding of molecular disease mechanisms as well as possible options for intervention via drug therapy and life-style changes.
Your qualifications: You hold a Master degree (M.Sc. or equivalent) in bioinformatics, medical informatics, computational biology/medicine, biotechnology, data science and have an advanced understanding of molecular biology, human physiology, cellular metabolism, biochemistry and disease mechanisms. You are motivated and open-minded, and eager to acquire secondary skills in mass spectrometry-based lipidomics/metabolomics and you have had insights into multi-omics data analysis. You have experience with programming languages and you can analyze datasets using Python/Pandas or R? You will be actively engaging in interdisciplinary collaborations and team-work and you have strong communication skills (fluency in scientific English written and spoken). Having basic knowledge of any of the following research areas will greatly benefit your application: medicine, biochemistry, pharmacology, molecular biology, mass spectrometry, proteomics, metabolomics, lipidomics.
Application: Applicants are asked to submit a single pdf-file to the contact person (see below). This pdf-file includes the following documents:
- Cover letter
- Curriculum vitae
- Copies of academic degrees, certificates, and transcripts of record
- Two letters of recommendation including their authors' contact information
- Publication list with DOI-links (do not include your published articles in the pdf-file)
Only complete submissions will be considered.
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