|Workplace||Flemish Region, Ghent, Belgium|
Master in science with a specialization track in bioinformatics or equivalent through experience
The cancer research team at the Department of Biomolecular Medicine (supervised by prof. ir. Katleen De Preter) has a vacancy for a highly motivated researcher with expertise in bio-informatics and a keen interest in translational cancer research. ?url=www.crig.ugent.be%2Fen%2Fprof-katleen-de-preter-phd&module=jobs&id=2880" target="_blank" rel="nofollow">www.crig.ugent.be/en/prof-katleen-de-preter-phd
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, tumor follow up, study of heterogeneity etc. The work of our team is supported by several research grants focused on integrative data-analysis of exome, genome and transcriptome sequencing generated on bulk as well as single cells obtained using invasive and non-invasive tumor sampling.
Profile of the candidate
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 (?url=crig.ugent.be&module=jobs&id=2880" target="_blank" rel="nofollow">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.
o MSc with a specialization track in bioinformatics or equivalent through experience
o 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 (including network inference) is a plus.
o Solid expertise in bioinformatics programming, and scripting (e.g. R, Perl, Python) is strongly recommended.
o Basic insight of (cancer)biology and genomics
o Candidates should have good communication skills, are team players and have strong strategic analytical problem-solving skills (creative, critical, and open-minded).
o Excellent oral and written communication skills in English; English language proficiency
What we offer:
o A 4-year PhD position (including a 6-month evaluation period)
o Participate in an exciting and rapidly evolving research area of clinically translational genomics
o Research team operating at international level and dedicated to improving survival of patients with cancer
o "State-of-the-art" technology and facilities (sequencing, single cell sequencing and manipulation, bioinformatics, mouse and zebrafish modeling, molecular biology, etc)
o The opportunity to work in a dynamic and interdisciplinary academic research environment
o Embedded within top-research teams with a broad range of expertise
o Collaborate with and assist wet-lab scientists in the design, analysis and interpretation of cancer genomics data
Medical Research Building (MRB1)
Department of Biomolecular Medicine
Center for Medical Genetics Ghent (CMGG)
Ghent University Hospital
Corneel Heymanslaan 10
tel +32 9 332 3945
How to apply
Candidates can apply by sending their CV and letter of motivation to katleen.depreter [at] ugent[.]be before February 15th, 2020. Top-ranked candidates will be invited for an interview (either skype or on site).
In your application, please refer to myScience.be and reference JobID 2880.
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