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RESPONSIBILITIES
We are seeking a computational biologist interested in the genomic regulatory code, to join the Laboratory of Computational Biology (Lab of Dr. Stein Aerts) at the Center for Human Genetics, University of Leuven, Belgium. Your research will focus on developing algorithms for the prediction of cis-regulatory elements and for the integrated analysis of cis-regulatory and next-generation sequence data with the goal of identifying regulatory variations underlying oncogenesis and developmental diversity. Particular focus will be on integrating genomic variation with transcriptional modules and gene regulatory networks and on the identification of genomic regulatory variations.
Context:
- You have the opportunity to apply your methods both on patient samples and on mammalian and Drosophila model systems. Depending on your interests and background, you can combine bioinformatics with wet-lab experiments, for which a lab technician will assist you.
- You will work in collaboration with several cancer research groups and Drosophila labs within the Department, for next-generation sequencing experiments and functional validations.
- You will have contacts with the Genomics Core Facility, hosting an Illumina HiSEQ2000 and a Roche 454 sequencer.
- You will be part of the Leuven SymBioSys Center of Excellence for Computational Systems Biology, where you will be surrounded by several other postdocs and students in a stimulating environment consisting of four bioinformatics research groups and four genomics labs.
SymBioSys: http://homes.esat.kuleuven.be/~bioiuser/symbiosys2/
Center for Human Genetics: http://med.kuleuven.be/cme/ and http://organigram.kuleuven.be/ext/5/50000622e.htm
University of Leuven: http://www.kuleuven.be/english/
Relevant Publications:
See http://med.kuleuven.be/lcb/publications.htmlREQUIREMENTS
- We are seeking a motivated and enthusiastic computational biologist, preferably with a proven track record in gene regulatory bioinformatics (e.g., prediction of enhancers, promoters, transcription factor binding sites, gene regulatory networks).
- PhD in Bioinformatics; PhD in engineering or computer science provided substantial insight in genetics; PhD in biological sciences provided substantial programming experience.
- Skills: genome informatics, statistics, programming.
PREFERENCES
- Experience with transcriptomics, cis-regulatory evolution, or the analysis of next-generation sequence data is a plus.
HOW TO APPLY
Highly motivated candidates can apply by sending a motivation letter, names and contact information for three references, publication list, and CV to stein.aerts[at]med.kuleuven.be.
Starting date: as soon as practically feasible.
Discussion forums: Opportunity: Postdoc, COMPUTATIONAL BIOLOGY, Genome Regulation @ University of Leuven--Leuven-Heverlee, Belgium
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