Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS) is a science and technology platform of TUM offers the position of a
Staff Scientist Bioinformatics
The Technical University of Munich is one of the top academic institutions in Europe with 48,000 students and over 600 Professors across 11 schools and departments. The Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS) is a science and technology platform of TUM providing state-of-the-art proteomics, metabolomics and bioinformatics tools for application in biology, medicine, plant and food research within TUM and research partners outside the university.
For the bioinformatics branch of this core facility, we are currently seeking a Staff Scientist Bioinformatics
Position: The successful candidate will be a key member of an interdisciplinary team focused on the development and application of proteomic, metabolomic and bioinformatic methods to answer scientific questions from all branches of the life sciences. He/she will be responsible for all activities in bioinformatics within BayBioMS including IT hardware and respective software. He/she will manage and participate in collaborative projects with scientists on and off campus, train and supervise technical staff and participate in educational activities.
Requirements: PhD in a related discipline and additional experience in a genomics, proteomics or metabolomics laboratory and a strong publication record. Extensive theoretical knowledge and practical skills in all aspects of omics data processing and integration as well as programming are essential. Additional important requirements include a sound understanding of biology.
We are looking for a self-motivated, highly skilled and broadly interested individual with the potential to become leader in the field. Intellectual flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects focused on innovative ideas are essential. Communication skills and experiences in presenting concepts and data are also important assets.
Salary is commensurate with qualification and work experience (TV-L E13). As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.
The position will remain open until filled. For further information feel free to contact Dr. Christina Ludwig or Dr. Karin Kleigrewe. Applicants should email their CV summarizing qualifications and experiences including names and addresses of two referees to application. email@example.com.