|Staff Category:||Postdoctoral Fellow|
|Contract Duration:||3 years|
|Closing Date:||10 March 2019|
- develop new analytical methods for longitudinal microbiome data analysis which explicitly model dependency structures among microbial features (e.g. the phylogenetic tree reflecting species relationships) and implement these as software packages;
- analyze metagenomics data sets from clinical microbiome studies in a team with other researchers from the Zeller Team and collaborating groups, capitalizing on her/his in-depth understanding of the methodologies in order to gain a better understanding of microbiome-host interactions (co-metabolism) and their bearing on host health and disease;
- interact and collaborate with other scientists and bioinformaticians from the Bork and KorbelGroups at EMBL, the Saez-Rodriguez Group from Heidelberg University, and the Schlesner Group from the DKFZ to tightly integrate microbiome and molecular and clinical host data into disease models.
The position is ideally suited for applicants who
- are as excited as we are about developing computational and statistical methods to push the limits of clinical microbiome analysis;
- enjoy programming, scientific software development, and are eager to expand their repertoire of sophisticated data analysis skills;
- like to work in a young dynamic team ingrained in EMBL’s collaborative, interdisciplinary, and culturally diverse research environment and enjoy networking with other bioinformaticians at EMBL and beyond.
- a PhD in computational biology or related field with a record of computational and/or statistical method development;
- advanced programming skills, including R, Python, Unix/Bash as well as familiarity with basic concepts of computer science;
- strong interest and prior experience in biological data analysis (in any relevant data-intense field of the life sciences including genomics, transcriptomics, single-cell analysis, etc.).
You might also have
- experience in software development, e.g. maintenance of R/Bioconductor packages;
- broad theoretical knowledge of, and work experience with biostatistics and machine learning;
- familiarity with large-scale data analysis and pipelining in an HPC and/or cloud computing environment;
- metagenomics data analysis skills.
Why join us
What else do I need to know
Our mission is to offer vital services in training scientists, students and visitors at all levels; to develop new instruments and methods in the life sciences and actively engage in technology transfer activities, and to integrate European life science research.
Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.