Postdoc Bioinformatics

Research / Academic
The successful candidate will be part of the EU funded ERC Advanced Grant ‘From GWAS to Function (GWAS2FUNC)’, and will focus on integrating bioinformatics resources with GWAS data. This can be part of the existing tool FUMA ( developed by our lab, but can also comprise developing novel tools. The candidate will work in an enthusiastic team of PhD students and postdocs, with diverse backgrounds, including statistics, bioinformatics, artificial intelligence, neuroscience, psychology and stem cell biology.

We are seeking a highly motivated, talented individual. You will be working with large genetic and bioinformatic datasets, with information on e.g. chromatin interactions, scRNA seq, or spatial gene expression patterns. The successful candidate needs to be proficient in scientific programming, with practical experience in the analysis of large bioinformatics and genetics datasets.

Your duties
  • develop novel bioinformatic tools for integrating results from genome-wide association studies with biological information at single cell resolution
  • application of tools to data on brain-related traits
  • co-supervision of MSc and PhD students
  • authoring and co-authoring manuscripts submitted to high quality journals
  • some support (10% of time) with teaching is expected
  • frequently present work at international community (at conference calls, or



  • PhD in any of the of the following fields: bioinformatics, computational biology or related computational field
  • demonstrable experience in bioinformatic data analysis, and in working with large datasets
  • demonstrable experience in genetic data analysis (GWAS, WES, WGS)
  • a good ability to write and read English
  • strong computer programming skills, experience with Python, the R statistical language and working in a UNIX environment
  • support ‘open science’: share tools and data with the wider scientific community

Salary Benefits:

A challenging position in a socially involved organization. On full-time basis the remuneration amounts to a minimum gross monthly salary of €2,709 (scale 10)
and a maximum €4,274 (scale 10), depending on your education and experience. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.

The initial employment contract will affect a period of 1 year, with the possibility of extension.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
  • a maximum of 41 days of annual leave based on full-time employment
  • 8% holiday allowance and 8.3% end-of-year bonus
  • solid pension scheme (ABP)
  • contribution to commuting expenses
  • optional model for designing a personalized benefits package

Work Hours:

32 - 40 hours per week


De Boelelaan 1105