Description

Context and research challenge

The term “precision medicine” is coined to define health and disease on the individual level in great detail, in an effort to maintain health and prevent/delay the onset of disease(s). The crucial aspect in this endeavor is to be able to collect diverse and meaningful longitudinal data for each individual to define systemically, health and disease by assessing both genetic and environmental factors as well as the interactions among them. The central hypothesis of precision medicine is if we can map these factors on the individual level we can come up with tailored therapies for this individual.

Challenge

So the ideal of precision medicine highly depends on accurately assessing the unique features that separates this individual from his/her peers. In practice however, clinical tests ( offered by professional accredited labs) are designed with the purpose to diagnose diseased individuals from healthy individuals. The first technology that is mature enough to become part of daily clinical practice is personal genome. If genomics and clinical lab. tests are integrated correctly, it has the potential to impact on every aspect of clinical practice where clinical laboratory tests are used including preventative measures, diagnosis, therapy to interpretation of the results of clinical trials.

Approach

In this state-of-the-art project we are going to integrate genomics level differences across individuals with the clinical level data, with the aim of interpreting the clinical laboratory tests more accurately taking genomic differences in to account. For this purpose we are going to use a unique longitudinal dataset (including 100+ monthly clinical lab tests and Next Generation Sequencing [NGS]) collected via the “I am Frontier” pilot cohort at VITO and other cross sectional datasets available.

With this call, we invite researchers to submit their resumé (including track-record) and a one-page project description, that will be the basis for selecting candidates with whom we will collaborate for developing competitive MSCA-IF proposals. 

Collaborations

Within the context of this project, we are collaborating with University College London (UCL), University of Hasselt and Domus Medica (The association of General Practitioners in Flanders) where secondments/ research visits will be encouraged.

Deadline application to VITO

Interested candidates should submit their resume (incl. track record) and a one-page note describing the project for which a Marie Curie grant will be applied, as soon as possible and no later than Friday 30 April 2021 17h Brussels time.

Supervisor

Successful candidates will be supervised by Dr. Gökhan Ertaylan. Dr. Ertaylan has completed his PhD in the Computational Science department at the University of Amsterdam. After working in Luxembourg Centre for Systems Biomedicine, as a Marie Curie fellow and in Maastricht University, as a Senior Researcher, he has joined VITO to lead the efforts in Data Analysis and Integration in Systems Biology projects.

Email: gokhan.ertaylan@vito.be; Tel: +32 14335270

Deadline MSCA-PF 2021

Wednesday 15 September 2021 17h Brussels time.

Target start date

The EU informs the results on the MSCA-PF applications in February 2022. Successful candidates are expected to be available to start within the following two months and no later than summer 2022.

 

Qualification

We invite applicants to propose a more detailed and focused research approach within the scope of this MSCA-PF Fellowship as a part of their application. We are primarily looking for experienced researchers who wish to use this period as an opportunity to further develop their research and skills, and to develop longer-term research collaborations with VITO and other institutions conducting research in the field.

The candidates as in principle must be eligible for a Marie Curie Postdoctoral Fellowship – please refer to the conditions to be set-out in the Horizon Europe MSCA-PF-2021 Work Programme, including taking into account the new MSCA Green Charter principles.

We are looking for a highly motivated candidate who recently obtained his/her PhD in a life sciences related computational discipline involving analysis of genome data, has a good understanding of bioinformatics techniques and the ability to work independently in a highly collaborative environment.

For this candidate, having daily experience with NGS analysis and genomics pipeline building, analysis and interpretation of GWAS is a must, good knowledge of R and Python are desired and overall familiarity with human biology and clinical laboratory tests are desired.

The following assets will be advantageous:

  • An excellent track record in research, necessary for being able to develop a competitive Marie Curie Fellowship application;
  • Already published relevant research work in prestigious scientific journals;
  • An open and cooperation-oriented nature, but with strong abilities for independent research work;
  • highly proficient in spoken and written English.
Offer

Initially, we offer assistance in developing competitive Marie Curie Individual Fellowship proposals.

Then, to successful applicants to the Marie Curie programme, we offer;

  • An exciting opportunity at VITO, the independent Flemish research organisation driven by the major global challenges. Our goal? To accelerate the transition to a sustainable world;
  • Participation in a dynamic professional research & innovation community;
  • Flexible working conditions;
  • An inclusive and friendly work environment;
  • On-boarding assistance and other services.

Requisition

Location: 
Mol
Jobfield: 
Postdoc
ID: 
32482