[BBC] Postdoc in Multi-omics data integration for systems vaccinology

[Yvan Saeys]

A joint postdoctoral research position in the area of multi-omics data 
integration is available between the Saeys lab atVIB 
<http://www.vib.be/en/Pages/default.aspx>and GSK.  The successful 
candidate will apply state-of-the-art machine learning and statistical 
tools for integrating several types of omics and classical immune data 
in the area of vaccine research.


    About the lab

TheSaeys lab 
<http://www.vib.be/en/research/scientists/Pages/Yvan-Saeys-Lab.aspx>at 
theVIB-UGent Center for Inflammation Research 
<http://www.vib.be/en/research/departments/Pages/VIB-UGent-Center-for-Inflammation-Research.aspx>studies 
the design and application of data mining and machine learning 
techniques for biomedical applications.  The lab is renowned for its 
research on single-cell technologies, including flow and mass cytometry, 
single-cell RNA sequencing, and is currently pioneering novel 
single-cell technologies including spatial transcriptomics and 
single-cell multi-omics (e.g. CITE-seq).

GSK is a science-led global healthcare company with a mission: to help 
people to do more, feel better, live longer.   Belgium is the heart of 
GSK Vaccines, with three major vaccine sites, in Wavre, Rixensart and 
Gembloux, including the global headquarters from the vaccines division 
of the group. That also means we represent the largest industrial 
network of vaccines worldwide. The translational research team in the 
R&D department focuses on complex immunological questions in order to 
improve vaccines and vaccine strategies.


    Your project

GSK conducted a clinical research study for exploring in depth the 
mechanisms of action of adjuvant systems. Adjuvant systems are used to 
improve vaccine immunogenicity and efficacy by enhancing antigen 
presentation to antigen-specific immune cells with the aim to confer 
long-term protection against targeted pathogens. We are interested in 
applying integrative data analysis approaches to characterize the 
antibody quality profile measured after vaccination.

In this research project the main objectives are two-fold:  in a first 
step we want to perform an exploratory study that integrates different 
data types to paint a better picture of the antibody quality profile for 
the different adjuvanted vaccines.  In a subsequent analysis we want to 
link these antibody quality profiles to specific responses in the innate 
and adaptive immune system using a complementary set of read-outs.


    Profile

  * PhD in bioinformatics, computational biology, computer science,
    bioengineering or similar
  * Background in data mining, machine learning and statistics
  * Working proficiency in appropriate programming languages and
    software (eg. R, Python)
  * High intrinsic motivation and a strong scientific curiosity.
  * Willingness to work across academy (VIB-Ghent University) and
    industry (GSK)
  * Willingness to work at different locations (Ghent, Rixensart)
  * Team player that can work independently in a multidisciplinary
    (international) team.
  * Excellent oral and written English communication skills.
  * Proactive, flexible, and problem-solving attitude.


    We offer

  * A full-time contract for two years at the interface of a
    state-of-the-art research institute and a top pharmaceutical company
  * A stimulating (international, multidisciplinary) research
    environment where quality, professionalism and team spirit are
    encouraged.
  * The ability to work on unique data in the area of systems vaccinology

*The position is immediately available.*


    How to apply?

Please apply online via 
https://vibvzw.jobsoid.com/j/26795/gsk-postdoc-in-multi-omics-data-integration-for-systems-vaccinology
Please complete the online application procedure and include a detailed 
CV incl. list of publications, a motivation letter and the contact 
information of three referees.
For more information contact Yvan Saeys <mailto:yvan.saeys at ugent.be>.

For more information:

  * Website:
    http://www.vib.be/en/research/scientists/Pages/Yvan-Saeys-Lab.aspx


-- 
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Prof. dr. Yvan Saeys
VIB Group Leader Data mining and modeling for biomedicine

UGent Department of Applied Mathematics, Computer Science and Statistics
Krijgslaan 281, S9, B-9000 Gent
Inflammation Research Center, a VIB-UGent Department
Technologiepark-Zwijnaarde 71 , B-9052 Zwijnaarde , Belgium

Tel : +32(0)9 331 37 40 Fax : +32(0)9 221 76 73
Mailto: yvan.saeys at ugent.be   http://www.dambi.ugent.be
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