Postdoctoral Position in the Nephrology and Renal Transplantation Research Group

Country: Belgium;

City: Leuven

Vacancy added: 19.06.2019

Employer: KU Leuven

Resumes due: 31.07.2019


The research group of prof. dr. Maarten Naesens is a part of the Nephrology and Renal Transplantation Research Group. His research aspires to tackle important questions in the rejection mechanisms of the kidney transplants, by translating molecular data into clinically applicable knowledge. The research group has a Renal Transplantation Biobank, which assembles all clinical, histological and molecular (epigenetic, genetic, proteomic and transcriptomic) data of all adult renal transplant patients transplanted in UZ Leuven since March 2004. Human data are coupled with in vitro data and data from relevant animal models. The granularity of the database and sample collection, together with long-term follow-up of the patients, allows the evaluation of the major unanswered questions in the field.


As a postdoc, you will perform bioinformatics approaches to get more insights in the rejection mechanisms after kidney transplantation. You will supervise and support PhD students and contribute to several research projects of the research group, have a collaborative spirit and liaise with collaborators, clinicians, lab technicians, biostatisticians, bioinformaticians, immunologists/biologists, but also technology transfer experts and industrial collaborators. You need to be able to organize and troubleshoot your work independently, document it thoroughly and communicate results and experience with the team in a transparent and professional manner. 


We are looking for a computational biologist who is highly motivated, well organized and dynamic with a high level of independence and creative thinking:

•  PhD in bioinformatics, computational biology, molecular biology or similar.

•  A broad bioinformatics experience with a good working knowledge of transcriptomics / genetics/ pathway biology / immunology and deep scientific expertise in a number of disciplines including omics technologies and data analysis, methodology for biomarker discovery. Practical skills (wet lab activities) in molecular/cellular biology/immunology are a plus. 

•  Proficiency in appropriate programming languages and software (R, SAS, Python, IPA, Microsoft Office)

•  A publication track record in this field with at least one first author publication.

•  Supervise PhD projects and coordinate the projects between groups

•  Experience in data management

•  High intrinsic motivation and a strong scientific curiosity

•  Team player that can work independently in a multidisciplinary team 

•  Excellent oral and written English communication skills

•  Proactive, flexible, and problem-solving attitude

•  Experience in working with deadlines and being involved in multiple projects


•  Duration: full-time contract for 12 months, with possibility to extend it. You are stimulated to apply for a postdoctoral fellowship.

•  The job is immediately available

•  Access to state-of-the-art technologies (eg. single cell RNA sequencing) 

•  A stimulating (international, multidisciplinary) research environment where quality, professionalism and team spirit are encouraged

•  The opportunity to interact with several world-class investigators (eg. existing collaborations with Diether Lambrechts from the VIB-KU Leuven Center for Cancer Biology in Belgium, with Olivier Thaunat, immunologist & nephrologist in Lyon, with L-BIOSTAT (Geert Verbeke), the biostatistical centre at KU Leuven and with ESAT-STADIUS (Bart De Moor), the KU Leuven department involved in mathematical modelling, and many more) and to become an expert in translational genomics. 


For more information please contact Prof. dr. Maarten Naesens, tel.: +32 2 447 18 67, mail:

All applications must include:

•  A presentation letter describing your motivation

•  A full CV including contact details, a list of your publications

•  Two contacts for further references

You can apply for this job no later than July 31, 2019 via the online application tool

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