NBIC Latest positions http://www.nbic.nl/about-nbic/jobspositions/ The 20 most recent positions available at NBIC en <![CDATA[Academic position in computational biology and statistical genomics]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/academic-position-in-computational-biology-and-statistical-genomics-2/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/academic-position-in-computational-biology-and-statistical-genomics-2/ Tue, 31 Jan 2012 15:35:04 +0100 www.nucleotides2networks.be). This interdisciplinary field joins the expertise of scientists with different backgrounds to solve problems in (molecular) biology through computational means. Ghent University has identified it as one of its five areas of excellence. They seek an upcoming research leader with an outstanding scientific record situated in the broad domain of Computational Biology generally and with specific interest in Statistical Genomics. The ideal candidate is motivated to play a major role in the high profile Multidisciplinary Research Partnership in Bioinformatics. He or she will engage in research related to one or more work packages identified by the partnership (www.nucleotides2networks.be) to:
  • build streamlined pipelines to deal with increasingly large numbers of heterogeneous data,
  • integrate these data for further downstream analyses,
  • develop novel tools and approaches for systems biology (inferring and modeling biological networks), and
  • apply these tools and approaches to Sustainable Agriculture and Successful Aging.
The successful candidate will be hosted within the Statistics research group at the Department of Applied Mathematics and Computer Science and is expected to collaborate closely with colleagues from the Bioinformatics research groups of Ghent University and the Flemish Institute of Biotechnology. The Statistics research group is internationally recognized, primarily for its research on causal inference and robust statistics. It builds on this expertise to develop targeted applied research for innovation in the private and public sector through the consortium Stat-Gent CRESCENDO (www.statgent.be) The primary focus there is on life sciences, the analysis of electronic health records and genetics data. Bioinformatics groups at Ghent University are world-renowned for their expertise in genomics and proteomics, applied to areas of research that have to do with successful aging and sustainable agriculture. This position will initially be a five-year temporary appointment in a Tenure Track system dedicated to research, with a limited teaching load. The appointment will be made in the starting rank of assistant professor. Upon positive evaluation by the university board, the position will lead to a permanent position starting at the level of associate professor.]]> <![CDATA[Bioinformatics Research Assistant]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatics-research-assistant/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatics-research-assistant/ Mon, 30 Jan 2012 21:18:35 +0100 <![CDATA[Bioinformatician - Sequence Applications]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatician-sequence-applications/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatician-sequence-applications/ Fri, 20 Jan 2012 08:21:49 +0100
  • contribute to the analysis and method development of NGS applications in the field of plant biotech and breeding. This includes de novo assembly, reference mapping, variation detection and sequence-based genotyping with data from state-of-the-art machines like the HiSeq2000 and PacBio sequencers;
  • work in a team of five bioinformatics professionals under the supervision of a team leader;
  • work in close collaboration with researchers and scientists from other research groups.
    • ]]>         <![CDATA[Scientific programmer, full time (38 hours/week)]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/scientific-programmer-full-time-38-hoursweek/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/scientific-programmer-full-time-38-hoursweek/ Fri, 13 Jan 2012 10:22:39 +0100 <![CDATA[Bioinformatician for support of metabolomics data analysis]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatician-for-support-of-metabolomics-data-analysis/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformatician-for-support-of-metabolomics-data-analysis/ Thu, 12 Jan 2012 08:43:19 +0100 www.labgmd.nl, AMC) and the Bioinformatics Laboratory (www.bioinformaticslaboratory.nl, AMC). They closely collaborate with the Netherlands Metabolomics Center (NMC; www.metabolomicscentre.nl). The candidate will be embedded in the Bioinformatics Laboratory and will implement a workflow for processing LC-MS metabolomics data. He/she will use existing methods (e.g., xcms) as much as possible and develop new modules when required. The candidate will analyze datasets generated by the Laboratory for Genetic Metabolic Diseases and produce clear reports about the results. The candidate is willing to contribute to meetings of the LeukoTreat project. ]]> <![CDATA[PdD student (OIO) Data mining to uncover disease causes in high-dimensional biological data ]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/pdd-student-oio-data-mining-to-uncover-disease-causes-in-high-dimensional-biological-data/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/pdd-student-oio-data-mining-to-uncover-disease-causes-in-high-dimensional-biological-data/ Wed, 11 Jan 2012 13:57:49 +0100
    Project background:
    The rapid emergence of new technologies for analyzing biological data, such as metabolomics, proteomics, MRI and next-generation sequencing is producing data on human biology and disease on an unprecedented scale. The major challenge now is analyzing, combining and mining these data to find hidden patterns in, for example, protein expression or genetic polymorphisms which predict disease vulnerability or explain the disease processes themselves. The insights obtained hereby will help design effective disease prevention measures or develop treatments. In the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) initiative, a large diversity of biological data has been gathered, amongst which genome wide association studies (GWAS) data from over 200.000 subjects participating in genetic studies for diverse diseases. The aim of this PhD project is to integrate the genetic data with other available phenotype data, and to develop novel data mining methods to efficiently and effectively find linear and nonlinear patterns that associate with disease and can lead to testable biological hypotheses. ]]>         <![CDATA[Postdoc Position in Structural BioInformatics]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/postdoc-position-in-structural-bioinformatics/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/postdoc-position-in-structural-bioinformatics/ Tue, 10 Jan 2012 15:18:27 +0100 . The candidate should not have been domiciled in Belgium the last two years.]]> <![CDATA[NLeSC vacancies for Senior eScience engineers]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/nlesc-vacancies-for-senior-escience-engineers/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/nlesc-vacancies-for-senior-escience-engineers/ Wed, 04 Jan 2012 23:48:36 +0100 <![CDATA[NLeSC vacancies for eScience engineers]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/nlesc-open-vacancies-for-escience-engineers/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/nlesc-open-vacancies-for-escience-engineers/ Wed, 04 Jan 2012 22:58:36 +0100 scientists from various disciplines. Experience working in an academic or related
    environment is required. The tasks include acting as an interface between users and NLeSC, contribution to software development for scientific research and project management. Experience and specialist knowledge will determine the precise level of the engineer. ]]>         <![CDATA[Phd fellow development of phylogenomic reconstruction methods]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/phd-fellow-development-of-phylogenomic-reconstruction-methods/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/phd-fellow-development-of-phylogenomic-reconstruction-methods/ Sat, 31 Dec 2011 17:07:41 +0100 Tasks and responsibilities The PhD student is responsible for:
    • contributing to the full project plan
    • staying abreast of developments in his scientific discipline by keeping up with the scientific literature in his field and visiting scientific meetings
    • generating ideas within the scope of the defined subject
    • supervising of research assistants and students, where appropriate
    • delivering results in line with the project plan milestones and deliverables
    • keeping up with the latest scientific developments and integrating these in the project
    • converting data and results of the sub-project into overview reports
    • keeping traceable records of all results and analyses according to the lab journal procedure
    • writing high-quality clearly written papers about the results obtained and getting these published in high–impact scientific journals
    • completing a thesis after 4 years
    ]]>         <![CDATA[Academic position in computational biology and statistical genomics]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/academic-position-in-computational-biology-and-statistical-genomics/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/academic-position-in-computational-biology-and-statistical-genomics/ Thu, 10 Nov 2011 10:47:17 +0100 www.nucleotides2networks.be):
    • build streamlined pipelines to deal with increasingly large numbers of heterogeneous data,
    • integrate these data for further downstream analyses,
    • develop novel tools and approaches for systems biology (inferring and modeling biological networks), and
    • apply these tools and approaches to Sustainable Agriculture and Successful Aging.
    The successful candidate will be hosted within the Statistics research group at the Department of Applied Mathematics and Computer Science and is expected to collaborate closely with colleagues from the Bioinformatics research groups of Ghent University and the Flemish Institute of Biotechnology. The Statistics research group is internationally recognized, primarily for its research on causal inference and robust statistics. It builds on this expertise to develop targeted applied research for innovation in the private and public sector through the consortium Stat-Gent CRESCENDO, a unit with dedicated scientific staff operating across the university in inter-faculty collaboration. The primary focus there is on life sciences, the analysis of electronic health records and genetics data. Bioinformatics groups at Ghent University are world-renowned for their expertise in genomics and proteomics, applied to areas of research that have to do with successful aging and sustainable agriculture. This position will initially be a five-year temporary appointment in a Tenure Track system dedicated to research, with a limited teaching load. The appointment will be made in the starting rank of assistant professor. Upon positive evaluation by the university board, the position will lead to a permanent position starting at the level of associate professor. ]]>         <![CDATA[Bioinformatician/Postdoc | Epigenomic analyses within nation-wide functional genomics initiative ]]> http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformaticianpostdoc-epigenomic-analyses-within-nation-wide-functional-genomics-initiative/ http://www.nbic.nl/about-nbic/jobspositions/detail/jobdetails/bioinformaticianpostdoc-epigenomic-analyses-within-nation-wide-functional-genomics-initiative/ Thu, 03 Nov 2011 08:25:35 +0100 The position
    As bioinformatician/postdoc you will analyze genome-wide DNA methylation profiles of 4000 individuals and link them to genetic, transcriptomic and phenotypic variation within a nation-wide functional genomics infrastructure to gain mechanistic insights into complex disease phenotypes.

    Project
    Recently, a high-profile €2M project was initiated to establish a nation-wide functional genomics infrastructure. The overall aim of the project is two-fold: (1) to gain insight in the mechanisms through which genetic variants identified in GWASs contribute to complex disease phenotypes and (2) to improve the classification of high-risk individuals by developing integrated genomic risk factors incorporating genetic, epigenomic and transcriptomic data. To this end, transcriptome (RNA-seq) and DNA methylome (Illumina 450k Chips and whole genome bisulfite sequencing) data will be generated in 4000 samples selected from in-depth characterized Dutch biobanks with GWAS and whole genome sequencing data. Hence, you will have the opportunity to work on a unique data set obtained with state-of-the-art technology and of unprecedented scale providing a platform for comprehensive and powerful analyses.

    As a bioinformatician/postdoc you will be responsible for the analyses in the epigenomics work package. This entails implementing a pipeline for the processing and analysis of 450k methylation data and creating genome-wide catalogs of genetic variation influencing DNA methylation (mQTLs) and DNA methylation influencing transcription. Moreover, your work will involve the execution of epigenome-wide association studies (EWASs) and the integration of 450k data with whole genome bisulfite sequencing data.

    The project is a collaborative effort and you will work with experts on functional genomics and biobank research in The Netherlands, including three other bioinformaticians/postdocs working on the other work packages. The project offers an excellent opportunity to develop an extended network and your successful role in project can be expected to result in good prospects for continuation of your career at a high level. Your research will be embedded within The Netherlands hub of the Biobanking and Biomolecular Research Infrastructure (BBMRI-NL). For a background on the project, read the article in BBMRI-NL newsletter http://tinyurl.com/fungenomics, page 2). ]]>