The Bioinformatics Laboratory offers internship projects to students from the Netherlands or abroad (e.g., through the Erasmus+ program). Students from academic bachelor/master programmes, and students from vocational studies (HBO in Dutch) can apply for a project in bioinformatics or computational modelling. The duration of an internship has a minimum of 3 months although 5 months or longer is recommended.

You can explore our website to get an impression about the type of projects that we do.


  • You have a relevant background in bioinformatics, computational modelling, computer science, biomedical sciences, or similar
  • You have basic programming skills (e.g., R, Python, C, Matlab)
  • You have basic knowledge of bioinformatics, statistics, modelling, and/or omics
  • You have good communication skills

What do we expect from you?

We expect you to work hard on the assigned project to meet the agreed upon results. This also involves reading and discussing relevant literature, discussing project progress with your daily supervisor, presenting your project and results for the Bioinformatics Laboratory, and writing a report. In addition to this every student is expected to invest time to make his/her research reproducible. To this end the Bioinformatics Laboratory has implemented guidelines to organize projects and uses GitHub for software management.

What can you expect from us?

We will provide supervision for your project and ensure that you acquire new skills during your project. We will appoint a supervisor to your project which can be one of our PhD students or a more senior researcher. You will be part of the Bioinformatics Laboratory team and will learn and see how it is like to work in a research group. Our philosophy is that you do an internship to learn new skills and acquire new expertise.

More information:

For more information contact Barbera van Schaik. Preferably, send her an email including a brief CV and what you would like to do.

Example projects from previous years

Hierarchical visualisation of single-cell RNA-seq data
VU Master Systems Biology & Bioinformatics

Modelling of Gene Regulatory Networks
UvA Bachelor Biomedical Sciences

Analysis of mutations in repertoire sequencing data
VU Master Systems Biology & Bioinformatics

Incorporating relative retention times in metabolomics pipeline
VU Master Systems Biology & Bioinformatics

Master Computational Science
Agent-based model of the germinal center

Immune repertoire repository
HS Leiden Bioinformatics

Deconvolution of breast cancer epigenomics data
UvA Master Systems Biology & Bioinformatics

Multi-omics integration
VU Master Bioinformatics and Systems Biology

Modelling of the gene regulatory network for plasma cell differentiation in the germinal center
Master Biomedische wetenschappen (Track Infection & Immunity)

Metabolomics and lipidomics for IEM using the R pipeline
Master Biomedical Sciences (track Biochemistry and metabolic diseases)

Integrative analysis of time-resolved endocrine resistance acquisition in a breast cancer cell line
UvA Master Bioinformatics and Systems Biology

Modelling superoxide (O2-) production during Oxidative Phosphorylation
Bachelor Biomedical Sciences

Predicting new alleles of T- and B-cell receptor genes
Master bioinformatics (University of Vienna / UvA)

Analysis of somatic hypermutations in BCRs
Master Bioinformatics and Systems Biology (VU/UvA)

Application of stochastic modelling in plasma cell differentiation
DuBa Biomedical Sciences / GNK

Interactive visualization of multi-omics data
Bioinformatics, Hogeschool Leiden

Evaluating an optimized threshold for partitioning B cells into clones
Bachelor Biomedical Sciences

Implementation of a pre-existing computational multiscale agent-based model for simulating spatio-temporal tumour immune response to PD1 and PDL1 inhibition
Bachelor Biomedical Sciences

Computational strategies for improved prediction of enhancers active in breast cancer
VU Master Bioinformatics and Systems Biology

Development of an antibody feature analysis pipeline applied to ACPA antibodies
Erasmus +, BSc in Biology, Aristotle University of Thessaloniki

Reactive oxygen production during the oxidative phosphorylation by different
Bioinformatics, Hogeschool Leiden

Using probabilistic methods for hierarchical visualization of single-cell RNA-seq data
Master Computational Science, UvA

Hide-and-seq: discovery of spatial information hidden in single-cell RNA-seq data
Master Bioinformatics and Systems Biology (UvA/VU)

Using single cell snapshot data to study the dynamics and reverse engineering of gene expression during B cell differentiation in germinal centers
Master Bioinformatics and Systems Biology (UvA/VU)

Extraction of spatial information and cell-cell interactions hidden in single-cell RNA-seq data
Master Bioinformatics and Systems Biology (UvA/VU)

Multiscale modeling of the genetic alterations associated with diffuse large B-cell lymphoma in the germinal center
Master Bioinformatics and Systems Biology (UvA/VU)

Studying the role of CD40 signaling and asymmetric division of transcription factors on the production of long-lived high-affinity plasma and memory B cells by multi-scale computational modelling
Master Bioinformatics and Systems Biology (UvA/VU)