• You are responsible for the complete data analysis workflow in proteomics research, from the raw mass spectrometry data up to reporting and visualization of data.
• You make use of standard software packages for proteomics data analysis, as well as of general analysis tools in the life sciences, such as Bioconductor (R) and statistical software.
• You are directly involved in and initiate the development of novel proteomics data analysis tools.
• You actively contribute to multidisciplinary research projects within Erasmus MC, varying form cancer research to the development of novel diagnostic tools.
• You work in an international, multidisciplinary environment and take an active role in communicating your results to biochemists, molecular biologists and physician-researchers

• You have an BSc or MSc in Bioinformatics, Computer Science or (Bio)chemistry with a specialization in (Bio)informatics.
• Preferably, you have also experience in mass spectrometry based proteomics and in analyzing Orbitrap (Thermo) data.
• You are able to program in R and Python and know how to use general data analysis packages in proteomics, such as MaxQuant, Skyline, Proteome Discoverer, Mascot, etc.
• Moreover, you know how to apply statistics on complex 'omics' data sets.
• You are able to work independently and you are curiosity driven.
• You are able to put your own ideas into practice, to learn new programming languages and to implement new software tools into existing workflows.
• Finally, you are fluent in English: you collaborate with international partners and communicate with international PhD students and staff members.

Erasmus MC