PhD student computational cancer genomics

Last application date
May 23, 2019 08:56
Department
GE38 - Department of Human Structure and Repair
Employment category
Research staff group 1
Contract
Limited duration
Degree
MSc in bio-informatics, medicine, biomedical sciences, bioengineering science, computer science or equivalent
Occupancy rate
100%
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.