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Postdoctoral researcher on Bioinformatics/ Computational Biologist to study DNA damage-induced transcription stalling in aging

  • 11.14.19.TBW
  • 36 hours per week
  • Moleculaire Genetica

Job description

Genomes are subject to continuous damaging insults from both environmental and endogenous sources such as the cellular metabolism. Unrepaired DNA lesions can impede both DNA and RNA polymerases, resulting in replication stress and transcription stalling. We have recently discovered that genome-wide transcription stalling is present in metazoan aging with striking similarities to DNA damage accumulation using a combination of newly developed sequencing methods (manuscript submitted). In this exciting and challenging project, the postdoctoral researcher will further unravel the mechanisms of age-related transcription stalling by an integrative genomics/transcriptomics approach using state-of-the-art transcriptomics and genomics datasets, including de novo RNA synthesis sequencing, RNA polymerase II ChIP-sequencing, single cell RNA sequencing, nanopore sequencing and proteomics. These studies will provide the mechanistic framework of transcription stress in aging. Studies will be performed in close collaboration with experimental biologists.

Work environment

Erasmus MC stands for a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push boundaries through leading the way in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment.

The Department of Molecular Genetics has a long history and strong world-wide reputation in understanding mechanisms of disease formation from the molecular level to physiological processes in the body in the context of cancer, aging and aging-related diseases. Highly multidisciplinary research teams perform basic and applied research ranging from the single molecule level up to complete organisms and patient-derived materials employing state-of-the-art technologies, including genomics, proteomics, bioinformatics, bioimaging and transgenesis.

Qualifications and skills

The highly motivated and successful candidate must have a PhD degree in a relevant discipline (Bioinformatics, Computational Biology, Statistics, Computer Science) and proficient in “R” and/or other languages such as Python. The candidate should be acquainted with analyzing bulk- and single-cell sequencing data with profound understanding of mathematical and statistical approaches and is capable of generating new mathematical models to address different challenges and scenarios in the biological samples. Experience with machine learning, the basal transcription process, DNA damage responses and/or aging will be considered an advantage. The candidate should be able to independently design, conduct and evaluate research projects, have outstanding theoretical and experimental research skills, is well-organized and result-driven with a strong team spirit. Furthermore, a strong command of (scientific) English in speech and writing is essential, proven by publications in international journals and presentations at international meetings.

Being able to present a certificate of good conduct, a valid proof of identity, diploma's and/ or relevant registration such as BIG/ RGS are conditions for the appointment.

Terms of employment

The gross monthly salary amounts a maximum of € 4.361,- (scale 10), depending on your level of education and relevant experience and based on a full-time working week of 36 hours. The terms of employment are in accordance with the Collective Bargaining Agreement for University Medical Centers (CAO UMC).

Information and application

For more information about this position, please contact Joris Pothof, project leader, e-mail: For queries regarding your application, please contact Jerry Chandansingh, Recruiter, by phone number: +31 (0)6 500 310 06.

If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website.

No agencies please.