We are offering a position, available immediately, as a
Postdoctoral Researcher (m/f/d) in Computational Biology
About us
The Schirmer lab is part of the ZIEL - Institute for Food & Health, an interdisciplinary Corporate Research Center of the Technical University of Munich located in Freising-Weihenstephan. The research of the Schirmer lab focuses on the human microbiome, especially gut microbes, and investigates mechanisms of host-microbial interactions in a variety of human diseases including chronic inflammatory bowel diseases. Integrated multi-omics analyses (metagenomics, metatranscriptomics, metabolomics) are used to identify disease-associated bacterial strains and their metabolites. These strains are subsequently isolated and cultured in the lab to validate their immunogenicity and inflammatory activity. Our research provides insights into the potential mechanisms of the human microbiome in immune-related diseases.
Candidate profile
We are looking for an outstanding highly-motivated postdoctoral researcher with the ambition and commitment to achieve excellence in a highly productive environment. The candidate for this project will be responsible to apply, conceive and develop algorithms and analysis approaches for multi-omics datasets. This role will require analysis of microbiome and metabolite datasets generated from clinical samples, interpreting this data within the context of the study and developing testable hypotheses that can be subsequently validated in the lab. The activities surrounding this position will be exclusively computational and represent exciting opportunities to discover the underlying mechanisms of the role of the microbiome in human health.
Tasks
- Analyzing large multi-omics datasets and interpret results
- Perform comparative microbial genomics analysis
- Develop, enhance, validate, and maintain current and new bioinformatic pipelines
- Lead and contribute to the generation of publications, grant applications, and protocols
- Support research projects as needed including: managing large amounts of data, and monitoring and running pipelines
- Network with our national and international collaborators and represent our works at con-ferences and scientific meetings
Requirements
- PhD in computational biology, computer science, mathematics, statistics or a relevant field
- Experience with analyzing complex datasets, ideally next-generation sequencing, metabolomic or genomic data
- Experience with scientific programming (such as R, Bash, Python, or C/C++), data analyses and data visualization
- Fluency in Unix, standard bioinformatic tools, and comfortable applying relevant statistical methods
- Experience or strong interest in human microbiome research
- Strong publication record, excellent communication skills, and high proficiency in English (presentation and writing skills)
- Self-motivated and enthusiastic to work in an interactive, international research environment, ability to work independently and as part of a team
- Excellent organization and time management skills required
- Experience in high-performance and cloud computing is an advantage
Our offer
We offer you a cutting-edge, interdisciplinary research project using data from state-of-the-art multi-omics technologies in a fruitful, collaborative research environment. The successful candidate will work on projects of the DFG funded Emmy Noether grant and the Collaborative Research Center (CRC) 1371 Microbiome Signatures, a newly DFG-funded “Sonderforschungsbereich” that focuses on the functional relevance of the microbiome in the digestive tract. Specific research topics of the successful candidate can include strain-level metagenomic profiling, functional profiling, metatranscriptomics, metagenomic assembly, metabolomic analysis and integration of multi-omics datatypes. New research lines will also be considered and scientific curiosity towards related research areas will be welcome.
The position is available immediately and funding is available for three years. Salary will be determined in accordance with the German collective wage agreement in public services (TV-L 13). Individuals with severe disabilities are given preference if they have the same aptitude and qualifications. The TUM seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly encouraged.
Contact
Technical University of Munich
ZIEL - Institute for Food & Health
Dr. Melanie Schirmer
Emmy Noether - Nachwuchsgruppe
Gregor-Mendel-Str. 2, 85354 Freising
Tel. +49 8161 71 2343
www.ziel.tum.de/melanie-schirmer
Application
Please send your full application as a PDF by June 30th, 2020 to melanie.schirmer@tum.de or by mail to the address above. The application should include a cover letter, detailed CV, a description of research experience and interests (1-2 pages) and contact details for three references. Please also indicate a preferred starting date.
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