Phd Student Computational Cancer Genomics
Ghent University Department of Human Structure and Repair

Phd Student Computational Cancer Genomics





Last application date

    Jun 30, 2019 23:59


    GE38 - Department of Human Structure and Repair


    Limited duration


    MSc in bio-informatics, medicine, biomedical sciences, bioengineering science, computer science or equivalent

Occupancy rate


Vacancy Type

    Research staff


Job description


We are looking for a motivated and ambitious PhD student to work on a project entitled “Immunoediting and immune evasion mechanisms in the treated and untreated cancer genome”, under the supervision of prof. Jimmy Van den Eynden. Using computational approaches and public cancer genome datasets (e.g. from The Cancer Genome Atlas), the aim of this PhD project is to better understand how the evolving cancer genome is shaped by interactions with the immune system. Genomic alterations will be identified in relation to different types of infiltrating immune cells (e.g. T cells, natural killer cells, …), in both the untreated cancer genome and following treatment with immunomodulating agents. Results of this project can be exploited to predict differential responses to cancer immunotherapy. The selected candidate will analyse large (cancer) genome datasets using a variety of available bio-informatics tools. Programming will be primarily performed in R using Bioconductor packages, with special attention for computational research reproducibility. The selected candidate will be offered a fulltime 4-year PhD position at the unit of Anatomy and Embryology (Dpt. of Human Structure and Repair). He/she will be encouraged and supported to apply for additional external funding.

Profile of the candidate


    Applicants should hold a MSc degree in bio-informatics, biological disciplines (e.g. biomedical sciences, medicine, bioengineering science or equivalent) or computer science. Master students that obtain such a degree later this academic year can also apply.

    Candidates with a biomedical background are expected to demonstrate basic programming experience (e.g. R, Linux bash, Python).

    Candidates with a computational background should demonstrate basic biology knowledge.

    Both knowledge of cancer biology/genomics and experience with R and Bioconductor are considered important assets.

    Excellent written and oral English communication skills are required.

    Applicants should be able to work in team as well as independently and have a critical and creative mindset.


How to apply


Applications including a CV and cover letter should be sent electronically to prof. Jimmy Van den Eynden ( The evaluation of the applicants starts in April and continues until the position is filled. Preselected candidates will be invited for a (Skype) interview. Starting date will be determined in agreement with the selected candidate.

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