Building and promoting Excellence in Life Sciences in Europe
Building and promoting Excellence in Life Sciences in Europe



Your function within the department

The research groups of Prof dr Lodewyk Wessels, Prof De Frederic Amant and Dr Christianne Lok are looking for a motivated and talented Computational Biologist to join their teams at the Netherlands Cancer Institute (NKI).

Project descriptions.
Early detection of Ovarian cancer. Differentiation between benign growth and ovarian tumors before surgery is currently far from optimal. This leads to a significant fraction of ovarian tumors going undetected and also a large fraction of benign growths being unnecessarily treated in specialized settings. In this project we will be employing innovative non-invasive sampling of peripheral blood to develop a more accurate test for the detection of ovarian tumors. We will employ two strategies. First we will isolate and perform RNAseq profiling on tumor educated platelets (TEP). Second, we will perform DNA sequencing and to detect abnormal DNA copy number profiles from the circulating tumor DNA (ctDNA). For both datasets, the successful candidate will build classifiers to accurately distinguish ovarian cancer from benign growths.

Integration of gene expression and tissue imaging to study post-partum breast cancer. Breast cancers that occur 1 to 2 years after childbirth (postpartum breast cancer) have a particularly poor outcome. It has been hypothesized that (immunological) changes in the breast, occurring after childbirth, are underlying the poor prognosis of postpartum breast cancer. In this project we will investigate postpartum breast cancer by combining two unique data sets across 400 patients. Tumors will be subjected to RNA-sequencing as well as spatial tissue profiling for a panel of immune markers employing the VECTRA technology. The spatial profiling provides the location of cells in a cross section of the tumor as well as the expression of the recorded markers in each cell. This allows a detailed characterization of the tumor and the surrounding stroma, indicating which cells occur in the stroma, their position with respect to each other and with respect to the tumor cells. The successful candidate will perform computational analysis of these datasets separately and in an integrated fashion to study the mechanisms that underlie postpartum breast cancer.

Your profile

We are seeking a highly motivated bioinformatician with:

  • A degree in bioinformatics, computer science or a related discipline
  • Experience with high-throughput data analysis, especially sequencing data
  • Proficiency in bioinformatics programming languages (e.g. R, Python)
  • Good cross-disciplinary collaborative and communication skills
  • Experience in statistics, machine learning and/or image processing is a plus
  • Experience in cancer biology and clinical applications is a plus

Your career opportunities and terms of employment

You will join a dynamic international research group. You will collaborate with scientists and clinicians with expertise in different disciplines. You will have the opportunity to follow high-quality courses offered by the NKI postdoc career development program.

Your temporary employment will be for a period of 2 years. The gross salary per month will be from
€ 2.665,- to € 3.917,- according to the FWG-function group 55, and depends on previous experience. The terms of employment will be in accordance with the CAO Ziekenhuizen (Collective Labour Agreement for Hospitals).

Amsterdam is a very livable city with many cultural amenities. The institute is located within a 20 minute tram or bicycle ride from the center of Amsterdam and within 20 minutes from Schiphol airport by car, bus or bicycle.

Your application letter and resume can be attached to the application form. Please include the names and contact information of at least two references in your resume. After dispatch of the form, you will receive a reaction as soon as possible.

For further information on the Wessels group (Computational Cancer Biology) please visit our home page


How to apply

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