Scientific programmer/bioinformatician (0.8 FTE) at MaCSBio

Aug 01, 2016
Nov 01, 2016
Organization Type
University and College
Part Time

Job Specifications - (uitleg)

Solliciteer binnen 41 dagen op deze vacature

Job Description

One of the goals of MaCSBio is to integrate biological data from different empirical domains using multi-scale modeling approaches. MaCSBio therefore has many collaborations with labs generating scientific data with high field MRI, mass spectrometry, genomic sequencing, gene expression profiling and metabolic profiling. This data-intensive approach for capture, storage, manipulation and analysis depends on a powerful IT-infrastructure consisting of four main servers: two VM CPU based, one CENTOS CPU based and one CPU/GPU based server.

 We are looking for a scientific programmer/bioinformatician (0.8 FTE) for:

  • Implementing and maintaining analysis pipelines on our infrastructure and general assistance in scientific programming;

  • Assistance in analysis and integration of research data sets available in-house and in public repositories;

  • Data management in collaboration with the Maastricht UMC+ Research IT initiative, with special attention to data standards and interoperability, and storage in the central MUMC+ infrastructure.


Our ideal candidate is a customer orientated, well organized and analytical thinker, who additionally has:

  • A BSc in (Bio)informatics or equivalent (required);

  • Proficiency in English (required);

  • Excellent communication skills (required);

  • Excellent programming skills in Java, Python, R, Matlab, or equivalent languages (required);

  • Experience with database and software design (MySQL, PostgreSQL);

  • Experience with data management and the use of standards and ontologies;

  • Experience with open source software;

  • Familiarity with Linux operating systems;

  • Familiarity with High Performance Computing.



We offer a temporary contract  with the terms of employment of Maastricht University which are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website > Support > UM employees.

The salary is set between €2651 - € 3642 per month (salary scale 9) for a full-time position, depending on experience and education.

In addition, the candidate receives a holiday bonus equal to 8% of the annual salary plus an 8.3% year-end allowance. Non-Dutch applicants could be eligible for favourable tax benefits (30% rule).  

We offer you a stimulating scientific environment with excellent facilities for professional and personal development.


Temporary, 2 year


Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,000 students and 4,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Humanities and Sciences, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.


The Maastricht Centre for Systems Biology (MaCSBio) is one of the youngest and most ambitious research institutes at Maastricht University. It is an interfaculty institute that is part of the Faculty of Health, Medicine and Life Sciences, the Faculty of Psychology and Neuroscience, and the Faculty of Humanities and Sciences.

The primary aim of MaCSBio is to facilitate the integration of biological data using mathematical and computational multi-scale modelling approaches. MaCSBio’s research takes place within two primary research lines: “Systems Medicine of Chronic Diseases”, and “Computational and Systems Neuroscience”. MaCSBio’s staff consists of mathematicians, biologists, computer scientists, health scientists, and engineers working in close collaboration with labs generating scientific data using state of the art methods, such as high field MRI, mass spectrometry, next generation sequencing and metabolic profiling.

Additional Information

More information on this vacancy can be obtained from Mr. M. Adriaens by e-mail: