Data Analyst in Neurodegenerative Diseases
vor 2 Monaten
We are seeking a highly motivated and skilled PhD candidate to join our team at the German Center for Neurodegenerative Diseases (DZNE) in Bonn. As a PhD researcher, you will be part of the Population Health Sciences group, led by Prof. Dr. Monique M.B. Breteler.
Key Responsibilities- Conduct research on the functional omics of ageing and age-related diseases, integrating different layers of OMICS data to investigate biological questions related to health outcomes with a specific focus on neurodegeneration.
- Participate in and supervise data acquisition and processing, data analysis, and preparation of manuscripts for publication in peer-reviewed journals.
- Active participation in national and international conferences.
- Excellent master's degree in bioinformatics, epidemiology, biomedical sciences, or related disciplines.
- Demonstrable interest in quantitative research, strong analytical skills, and first experience with analysing high-throughput sequencing data (e.g., RNASeq) and performing Quality Control for such data.
- First programming experience (preferably in R).
- Excellent analytical and problem-solving skills.
- Proficiency in spoken and written English.
- Ability to work as part of an interdisciplinary and international team.
- An interesting and challenging position on the forefront of health research.
- Work in a highly interdisciplinary and international team to address pressing health issues related to ageing.
- Excellent scientific infrastructure with state-of-the-art research and computational facilities.
- Active encouragement and support of our employees' individual development.
- Employment, payment, and social benefits in line with the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst).
The PhD position will be integrated into the Bonn International Graduate School of Clinical and Population Science, and further training in epidemiological, statistical, and computational methods will be provided as needed.
How to ApplyInterested applicants should submit, as one single PDF file, a CV, transcripts, three references, and a cover letter describing your research interest and experience, through the link below.
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