PhD student Translational Bioinformatics
The computational challenge is to detect relevant breakpoints while filtering the experimental and biological background signal. The aim of this project is to use advanced machine learning techniques to characterize recurrent breakpoint genes in more detail, in order to detect those events with a direct impact on the tumor. By learning over multiple molecular and clinical data sources, we hope to improve molecular DNA-based classification and thereby stratification of CRC patients for early diagnosis, prognosis and therapy prediction. Our long-term goal is to implement detection of SVs with diagnostic, prognostic and/or predictive value into clinical care to improve disease management of CRC patients.
This is a collaborative project lead by Remond Fijneman (NKI, Translational Gastrointestinal Oncology group; head Gerrit Meijer) and Sanne Abeln (VU University, dept. of Computer Sciences, bioinformatics section; head, Jaap Heringa).
- An MSc degree in Bioinformatics, computational biology or an MSc degree in the Life Sciences, with a specialization in Bioinformatics
- A strong interest in biomedical research and translational oncology
- Able to write bioinformatics workflows using Python and R
- Good communication and academic writing skills
Jouw ontwikkelingsmogelijkheden en arbeidsvoorwaarden
You will join dynamic international research teams both at the Netherlands Cancer Institute and the VU, and will collaborate with scientists with expertise in different disciplines. Your temporary employment will initially be for a period of 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a duration of 4 years. The gross salary per month is € 2.798,- to € 3.446 according to the standard PhD scales. The terms of employment will be in accordance with the CAO Ziekenhuizen (Collective Labour Agreement for Hospitals).
For additional information, please visit the VU website: