Postdoc Statistical Genetics

Research / Academic
The successful candidate will be part of the EU funded ERC Advanced Grant ‘From GWAS to Function (GWAS2FUNC)’, and will focus on developing novel statistical genetic tools using GWAS data, that can be used for optimizing e.g. risk prediction, improving current genetic models or understanding biology. 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 are required to handle large genetic and genomic datasets, with information on brain-related traits (e.g. cognition, schizophrenia, autism, mental retardation, neurodegenerative disorders), and subsequent bioinformatics annotation. The successful candidate needs to be proficient in statistics and statistical programming, and practical experience in the analysis of genomics data (e.g. expression data, GWAS, WGS, WES).

Your duties
  • develop novel statistical tools for analyzing genome wide data, e.g. including

    GxE, risk prediction and multivariate genetic analyses
  • 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: statistical genetics, bioinformatics,
    computational biology or related quantitative/computational field
  • demonstrable experience in genetic data analysis, and in working with large
  • a good ability to write and read English
  • strong computer programming skills, experience with 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
  • optional model for designing a personalized benefits package

Work Hours:

32 - 40 hours per week


De Boelelaan 1105