Researcher

Last application date
Aug 31, 2019 23:59
Department
GE31 - Department of Biomolecular Medicine
Employment category
Postdoctoral staff member group 2
Contract
Unlimited duration with clause
Degree
Master in Biomedical Sciences / Bio-engineer Sciences / Biotechnology / … (with specialisation in bioinformatics) or PhD in (Bio)medical Sciencies / Sciences / Bioinformatics /... (with expertise in bioinformatics)
Occupancy rate
100%
Vacancy Type
Research staff

Job description

The cancer research team at the Department of Biomolecular Medicine (supervised by prof. ir. Katleen De Preter, dr. Bram De Wilde and prof. Frank Speleman, https://www.spelemanlab.org/) has a vacancy for a highly motivated researcher with expertise in bio-informatics and a keen interest in translational cancer research. A new era of clinical care, so-called precision oncology is opening unprecedented potential for developing novel therapeutic strategies for cancer patients. Amongst others, liquid biopsies are now offering a great potential for noninvasive exploration of circulating tumor nucleic acids and cells thus allowing improved diagnostics, follow up, study of tumor heterogeneity etc. In addition to several research grants, we have also launched the NucleUZ program at Ghent University Hospital (uzgent.be) aiming for a better diagnosis and more precise and effective treatment of cancer patients. NucleUZ aims to bring precision oncology into practice at the Ghent University Hospital. To this end, we will make use of a dedicated precision medicine toolbox, including integrative analysis of exome, genome and transcriptome sequencing generated on bulk cells as well as single cells obtained using invasive and non-invasive tumor sampling.

Profile of the candidate

Your profile: You will work in a multidisciplinary environment under the supervision of senior scientists in bioinformatics and molecular biology in the Department of Biomolecular Medicine and within the broader framework of the Cancer Research Institute Ghent (crig.ugent.be) where you will implement and develop (new) algorithms for genomics analysis of tumors aiming at a more precise care for the patient.

  • MSc with a specialization track in bioinformatics or equivalent through experience OR holder of a PhD degree in bio-informatics, (medical) biology, (bio-) engineering, computer science, or related fields, obtained in the last 5 years. Candidates with prior experience in genomics analyses, bioinformatics and statistics are strongly encouraged to apply.
  • Candidates should be team players able to help organizing multidisciplinary projects and have strong strategic analytical problem-solving skills (creative, critical, and open-minded).
  • Experience with the analysis of sequencing data, such as human whole exome/genome sequencing, (single cell) RNA-sequencing, including quality control, read mapping, variant detection, de novo assembly, SNP/indel calling, copy number and structural variation analysis, expression level analysis, and further downstream data-mining.
  • Solid experience with bioinformatics programming, databases and statistics for bioinformatics, including scripting (e.g. Perl, Python), R (incl. Bioconductor), UCSC Genome Browser, Ensembl API, etc, knowledge of relational databases (MySQL, etc) and web servers (Apache, etc) is strongly recommended
  • Basic insight of (cancer)biology and genomics
  • Excellent oral and written communication skills in English; English language proficiency

What we offer

  • A 2-year translational research position with an option to extend
  • Participate in an exciting and rapidly evolving research area of clinically translational genomics
  • Research team operating at international level and dedicated to improving survival of patients with cancer
  • “State-of-the-art" technology and facilities (sequencing, single cell sequencing and manipulation, bioinformatics, mouse and zebrafish modeling, molecular biology, etc)
  • The opportunity to work in a dynamic and interdisciplinary academic research environment
  • Embedded within top-research teams with a broad range of expertise
  • Collaborate with and assist wet-lab scientists in the design, analysis and interpretation of cancer genomics data Location: Medical Research Building (MRB1) Department of Biomolecular Medicine Center for Medical Genetics Ghent (CMGG) Ghent University Hospital Corneel Heymanslaan 10 B-9000 Ghent, Belgium tel +32 9 332 3945

How to apply

Candidates can apply by sending their CV and letter of motivation to A.DePaepe@ugent.be by 31 August 2019. Top-ranked candidates will be invited for an interview (either skype or on site).