Computational Postdoc

Our lab provides a fresh and vibrant research environment where we integrate state-of-the-art proteomics and genomics technologies with advanced data analysis workflows. We apply these approaches to study gene regulation and to characterize interactions between cancer cells and immune cells.

A central theme in our lab is the absolute quantification of protein abundances and interaction strengths. These quantitative measurements make our datasets ideally suited for predictive modeling of how immune cells interact with diseased cancer cells. Click here for more information about the Lindeboom lab.

Your project will involve integrating quantitative NGS-based genomics datasets with mass spectrometry-based proteomics datasets to analyze and model dose- and context-dependent protein binding to DNA, chromatin, and proteins involved in cell-cell interactions.

The aim is to understand how protein binding affinities are regulated by their proteomic environment. Our state-of-the-art and unique technologies enable us to ask this question both in the context of transcription factor binding to the chromatinized genome and in the context of protein-protein interactions that mediate immune-tumor cell interactions. Although the role is primarily computational, there is flexibility to become involved in experimental work and generate data yourself, depending on your interests and expertise.

At the Netherlands Cancer Institute, we have a shared goal: providing the best care for every patient and every type of cancer. Quite a lot, but not impossible. Here, science and health care join forces towards innovation. We keep finding new ways to help people facing cancer on a global scale. Here we save lives, gain time and quality.

We are looking for an intelligent, enthusiastic, and highly motivated postdoc with an affinity for protein interactions and data science. Good communication skills and the ability to work in a multidisciplinary team are essential. For this role, you should have:

• A PhD degree in biomedical sciences with a solid background in computational biology;

• Experience with predictive modeling, machine learning, AI, and/or quantitative data analysis;

• Experience with genomics data analysis, protein structure data analysis, or preferably both;

• A strong interest in protein interactions, gene regulation, and/or cancer immunology;

• Excellent communication skills and the ability to collaborate in a multidisciplinary research environment.

The basis for your employment conditions is in accordance with the CLA Hospitals. You will receive from us:

• A 3-year position fully funded by ERC, split over a 1 and 2 year contract, based on 36 hours per week;

• A gross monthly salary between € 4.539,- and € 5.395,-, based on a 36-hour working week, in line with FWG55 and depending on the status of your dissertation and your experience;

• 144 holiday hours and 57 hours of Personal Life Budget, with full-time employment;

• Annual holiday pay of 8.33% and a fixed end-of-year bonus of 8.33%;

• A travel allowance of €0.23 per km;

• Free parking at the Netherlands Cancer Institute. And with our bicycle plan and discount on public transport we also make it attractive for you to leave the car at home;

• Opportunity to exercise at our Fit Boutiqs;

• An active staff association.

We are curious about your talent. Will you be the one to make a difference in the world of cancer care and research? Please submit your application only via the application button and include a cover letter, a list of references, your CV, and grade transcripts from your bachelor’s and master’s degrees. You can only upload two files to the submission system, so please merge your grade transcripts and CV into one PDF. Incomplete applications and applications by email will not be considered.

For further information about the position, please contact Rik Lindeboom, Group Leader, at r.lindeboom@nki.nl.
For more information about the application process, please contact Pascal van Kippersluis, Recruiter, via p.v.kippersluis@nki.nl.