Postdoctoral position in the Nephrology and Renal Transplantation Research Group

     
Employer
Published
WorkplaceLeuven, Flemish Region, Belgium
Category
Position

Description

Postdoctoral position in the Nephrology and Renal Transplantation Research Group

Bioinformatics and computational biology in a fast-growing translational research team

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 candidates 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.

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.

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.

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.


KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR [at] kuleuven[.]be.

Web

In your application, please refer to myScience.be
and reference  JobID 2439.

Related News



This site uses cookies and analysis tools to improve the usability of the site. More information. |