We are looking for a highly motivated postdoctoral researcher in translational bioinformatics. The candidate will combine molecular and clinical data for the molecular classification of disease. She/he will work on a set of exciting avenues such as building novel diagnostic tools based on Omics data and the integration of various data streams for building predictive algorithms for guiding patient therapy across all disease stages.
The candidate will be part of the group of Prof. Michael Krauthammer (Chair of Medical Informatics), an interdisciplinary team affiliated with the Biomedical Informatics Unit at USZ and the Department of Quantitative Biomedicine at UZH.
We are looking for a talented bioinformatician with solid research experience in analyzing large Omics patient data. The candidate has previously led or played a significant role in a team-effort investigating the molecular cause of disease using high throughput methodologies. The candidate has solid knowledge of biology and/or medicine, is experienced in combining clinical and molecular data, and shows a deep curiosity about learning the molecular underpinning of disease. He/she has interest in new avenues such as predictive disease modeling and working with diverse biomedical data streams. The candidate has interest in working closely with wet lab professionals toward the development of new diagnostic tools. The candidate has a good grasp of the design and execution of studies involving large biomedical datasets, and has a flair for the management, organization and dissemination of data resources.
- PhD in bioinformatics, genetics, statistics, physics, engineering or similar domain. MDs either will have a PhD in one of the above disciplines or have demonstrated computational research experience as per job description
- Solid publication record in high impact genetics or medical journals
- Excellent knowledge of R and at least one scripting language (Python, Perl), and SQL
- Experience with Omics analysis, particularly with WGS, WES, RNA-Seq and SCS, and established pipelines (e.g. GATK, SAMtools, etc.)
- Experience with working with Linux high performance compute clusters and cloud based computing platforms
- Familiarity with large biological databases including TCGA and 1000K
- Exposure to one of the following research domains: Ontologies and network analysis (drugs, proteins)
- Interest in teaching translational bioinformatics courses
What we offer:
- Access to state-of-the-art infrastructure (computational resources), exciting clinical and genomic datasets, and an interdisciplinary environment with deep medical and data science expertise
- Ability to make an impact in healthcare with the potential to change care-related workflows and processes
- Stimulating research environment and a place to grow academically and professionally
- Ability to direct your own research and to develop an optimal research portfolio
- Outstanding working conditions at the University of Zurich (please visit http://www.pa.uzh.ch/en/Willkommen-an-der-UZH.html)
Applicants should submit the following documents (preferably in a single PDF) to email@example.com with subject heading “Postdoc in Translational Bioinformatics”
- CV with list of publications
- Statement of research interests with a letter of motivation (2-3 pages max, in English)
- Name, address and email contact of three referees (for letters of recommendation)