Staff Scientist: Omics Analysis in Metabolism

Leuven VIB-KU Leuven Center for Cancer Biology

01 Jun 2017

Leuven

VIB-KU Leuven Center for Cancer Biology

Senior Scientific

Peter Carmeliet Lab

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The laboratory of Professor Peter Carmeliet (part of the Center for Cancer Biology, CCB) is one of the research departments of VIB, located at the KU Leuven – Campus Gasthuisberg. The lab is focusing on the development of blood vessels (angiogenesis) and vascular metabolism, and consists of 20 plus junior researchers. The lab is seeking a dynamic, highly motivated and experienced Staff Scientist to coordinate and support the implementation of an in-house developed multi-omics bioinformatics-platform and to further develop software tools, combined with state-of-the-art mass spectrometry and metabolism data analyses.

The focus of the lab is to characterize the role of metabolism during the process of angiogenesis in health and disease in order to identify novel therapeutic applications. Under the supervision of Prof. Carmeliet, a team is currently set-up to analyze omics-data with bioinformatics tools and to provide a link between mass spectrometry related data analyses (metabolomics, proteomics), next-generation sequencing (RNA-sequencing, genomics including single-cell analyses) and endothelial cell biology. To lead and coordinate this team, we are seeking a (senior) bioinformatician (postdoc level with relevant years of experience) to aid in the development of novel tools or to improve existing tools. S/he will be leading a bioinformatics team and will be responsible for developing and improving state-of-the-art metabolic profiling (e.g. 13C metabolomics, integrative multi-omics analysis) in a highly recognized scientific environment. The candidate will develop and apply informatics tools that allow researchers to understand better the metabolic changes occurring during angiogenesis in health and disease.

Job description

You are responsible for:

  • Working independently with a team of bioinformaticians to build the Lab’s know-how in omics analysis, under supervision of Prof. Carmeliet
  • Adapting and developing innovative software tools and bioinformatics-platforms to perform streamlined data analysis for omics-technologies and tailoring these towards specific research questions
  • Assisting group leaders and scientists in data analysis and interpretation of the data
  • Organizing weekly team meetings to update your research results

Profile

  • You have strong data analytical skills and a fundamental knowledge of bioinformatics (R, Python, programming skills, machine learning) and previous experience in analyzing high-throughput data
  • A solid background in mass spectrometry for metabolite determination and identification would be an advantage
  • Candidates are interested in analyzing and integrating complex omics- and clinical datasets, and in working in a multidisciplinary environment of experts in biomedical sciences, metabolomics, transcriptomics and bioinformatics
  • Candidates have a PhD in computer science or bioinformatics
  • You are interested and motivated to work on ambitious projects in an open, dynamic, competitive and driven team
  • You should have excellent organizational and supervisory skills, you can inspire and motivate a team
  • You should have a strong ability to handle multi-tasks spontaneously, meet timelines as well as work independently and accurate
  • Good communication skills in spoken and written English 
  • You have a good publication record (including at least one paper as a first author) in peer-reviewed international journals, with an emphasis on quality rather than quantity of publications.

We offer

  • The opportunity to lead a multidisciplinary international team and contribute to the biological validation of omics data sets
  • Access to state-of-the-art technologies in biomedical research
  • A dynamic working environment in which quality, professionalism and team spirit are encouraged
  • A competitive remuneration package, a stimulating scientific surrounding in a young, enthusiastic, motivated team (with English as main language)
  • Long-term career opportunities
  • Excellent training conditions within a team of experts in the field of bioinformatics and metabolism
  • Starting as soon as possible

How to apply?

Your online application file should contain:

  • Complete CV
  • Motivation letter
  • List of publications
  • Summary of past research 
  • contact information or reference letters of 2 or 3 referees