[BBC] Postdoc in Multi-omics data integration for systems vaccinology
Yvan Saeys
yvan.saeys at ugent.be
Thu Apr 23 10:55:56 CEST 2020
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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