Ph.D. Computational Biology (The Netherlands) Deadline: Oct. 01, 2019

The Netherlands Cancer Institute

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Three Years



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Program Details

The consortium of Wessels Laboratory and Brummelkamp Laboratory, The Netherlands Cancer Institute (NKI), and Scenic Biotech BV, Amsterdam, The Netherlands invites applications for a Ph.D.position Computational Biology – Mining a genomics compendium to identify therapeutic targets. This is part of a public-private, multi-disciplinary collaboration.

Human cells perform highly complex tasks and are equipped with the required machinery and decision-making processes that largely remain poorly understood. Although human genes play a central role, no wiring diagram exists depicting their function. This project will link the function of all human genes to a compendium of cellular processes. This will suggest new entry points to manipulate cellular processes and therapeutic strategies to rebalance disease.

This consortium will draw upon:

  • Phenosaurus, a large collection (~130) of haploid screens generated in collaboration with Scenic Biotech BV employing the Cell-seq technology developed by the Brummelkamp laboratory;
  • The screening, cell and molecular biology expertise of the Brummelkamp laboratory and the computational know-how of the Wessels laboratory. With the Cell-seq technology proven to be highly effective, the opportunity exists now to cover diverse cellular functions and to use advanced computational network inference approaches to deduce the underlying genetic control mechanisms.

The successful candidate will be employed in the Wessels and Brummelkamp groups at the Netherlands Cancer Institute, and will regularly liaise with Scenic Biotech to generate sufficient cohesion and momentum.

For the PHD-position the gross salary per month will range from € 2.665,- to € 3.282, according to the standard PhD scales. Approximately 550 people work in the research laboratories. Research discussions, lectures and seminars in English and a large number of Dutch and non-Dutch postdocs, students and staff members contribute to the stimulating and international atmosphere of the Institute. We offer an inspiring and interactive research environment, state-of-the-art facilities, training, a competitive salary (including possibilities for tax-reduction for expats) and housing facilities in the vicinity of the Institute.

Eligibility/ Requirements

We are seeking a highly motivated PhD candidate with:

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

Application Process

Your application must be submitted electronically by clicking ‘Apply’ below. The application must include the following documents:

  • Resume
  • Letter of interest by using the Apply button.
  • Include the names and contact information of at least two references.

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