Postdoc Bioinformatics in

4 weken geleden


Utrecht Oost, Nederland Prinses Máxima Centrum Voltijd

We are seeking a highly motivated, self-driven postdoctoral researcher in bioinformatics to the Kool group at the Princess Máxima Center for pediatric oncology. Our group studies the genomics and epigenomics of pediatric brain tumors and how to translate findings from these studies into novel therapies. Do you want to contribute to the Princess Máxima Centre’s mission, to cure every child with cancer, with optimal quality of life? We would like to get in contact with you.

**What to expect?**

You are going to study brain tumor development, brain tumor biology, and _in vitro_ modeling of pediatric brain tumors on a (single cell) transcriptomic and (epi)genomic level. You will take the lead on the bioinformatics aspects within our research program in Utrecht. Besides performing bioinformatic analyses and generating bioinformatic tools and pipelines, you will contribute to all other scientific aspects. For instance, you will participate in writing grants and papers, and you will co-supervise MSc and PhD students in our group. You will work closely together with the other members of our group to coordinate the wet and dry lab experimental efforts. You will also collaborate with other bioinformaticians within the Máxima and our group in Heidelberg. We will provide the opportunity to expand on our ongoing projects with various international collaborators and to initiate new, innovative projects.

**Profile**

We are looking for a highly motivated, self-managing postdoc with a strong interest in (tumor) biology and expertise in bioinformatic analyses of large multi-omic datasets. You have great communication skills and the ability to work independently as well as collaborative in multidisciplinary and multicultural research teams. Next to that, you are well-organized and detail oriented. A flexible work attitude and good data management skills are important for this position.

Furthermore:

- You are a PhD with a strong background in bioinformatics, genomics/ genetics, or related disciplines.
- You are proficient in programming languages such as R, Python and bash scripting.
- You are confident in single cell RNA sequencing analysis packages (Seurat, scanpy, etc) as well as bulk RNA sequencing packages (DESeq2, edge, etc).
- You are experienced in storing, organizing, and tracking datasets and codes systematically for reproducibility and collaborative work.
- You are confident in working with a remote HPC system to run analyses and manage data efficiently.
- You master the English language, both oral and written.
- Familiar with wet-lab techniques (e.g., RNA extraction, library preparation, sequencing workflows).

**Our job offer**

We offer you a full-time position based on 36 hours / 5 days per week, although working part-time can be discussed. You will start on a temporary position for the duration of one year that—when satisfactory—can be extended. Salary and benefits are in accordance with the Collective Labor Agreement for Hospitals starting in scale FWG 60 and depending on experience and skill. You also receive 8,33% holiday allowance and 8,33 % end-of-year bonus.

**Work environment**

Our research group, headed by Marcel Kool studies the genomics and epigenomics of pediatric brain tumors and how to translate findings from these studies into novel therapies. More effective and less toxic therapies are urgently needed. For many types of childhood brain tumors, the survival is still very poor, and survivors suffer from serious long-term side effects caused by their intensive therapies. To develop such new therapies, we need a better understanding of tumor development and biology as well as molecularly well-characterized preclinical models that represent the broad intra and inter-tumor heterogeneity.

We work in close collaboration with the other research group that Marcel Kool leads at the Hopp Children’s Cancer Center (KiTZ) in Heidelberg, Germany. Both groups are part of the same research program and focus on different aspects of ependymomas and embryonal brain tumors. Our group in Heidelberg works on the genomic and epigenomic analyses of primary tumors and how to translate (epi)genomic findings to the clinic using patient-derived xenograft (PDX) mouse models. Our group in Utrecht is modeling these tumors in vitro using organoid technology to better understand tumor development and behavior and to perform preclinical experiments. Combining the complementary expertise, data and other knowledge from both groups and both centers helps to accelerate our research.

For more information about our group, please visit this page.

**The Princess Máxima Center**

The Princess Máxima Center for Pediatric Oncology is a research hospital concentrating healthcare, research and education with regard to cancer in children in a single location within the Netherlands. The institute aims to provide the highest level of care for children with cancer and has the ambition to cure all children of cancer and signif



  • Utrecht Oost, Nederland Universiteit Utrecht Voltijd

    **Your job**: As a postdoc, you will take responsibility for the design and the realisation of the project. You will develop both targeted and untargeted liquid chromatography - mass spectrometry (LC-MS/MS) methods to measure predicted and unknown microbiome products in urine and reconstituted microbial communities. Advanced data analysis will aid in...


  • Utrecht Oost, Nederland Prinses Máxima Centrum Voltijd

    We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our ongoing projects in computational genomics. **The Position** We are seeking a highly motivated computational biologist with a PhD in genomics, cancer biology, or related fields, ideally with experience in single-cell genomics and machine learning....


  • Utrecht, Nederland UMC Utrecht Voltijd

    **Elke dag de zorg en de gezondheid van mensen verbeteren**Goede arbeidsvoorwaarden**Jezelf continu blijven ontwikkelen vinden we belangrijk** **Dit ga je doen** You will lead your own project to discover and characterize modifiers of disease pathways in iPSC models of amyotrophic lateral sclerosis (ALS), a fatal neurodegenerative disease that effects 1 in...


  • Utrecht, Nederland UMC Utrecht Voltijd

    **Elke dag de zorg en de gezondheid van mensen verbeteren**Goede arbeidsvoorwaarden**Jezelf continu blijven ontwikkelen vinden we belangrijk** **Dit ga je doen** As a computational biologist within our team, you will be responsible for analyzing large datasets that directly influence our drug discovery and development projects. You'll play a central role...


  • Utrecht, Nederland Universiteit Utrecht Voltijd

    Research at Clinical Infectiology (KLIF) focuses on zoonotic, parasitic and foodborne pathogens and the emergence of antimicrobial resistance. The generation and analysis of sequencing data is part of our daily work for epidemiology, virulence and antimicrobial resistance determination, to assess the effects of interventions, and for diagnostics. KLIF offers...


  • Utrecht Oost, Nederland Prinses Máxima Centrum Voltijd

    Are you a motivated bioinformatician and do you enjoy working in a diverse team? Do you want to contribute to the Princess Máxima Centre’s mission, to cure every child with cancer, with optimal quality of life? We would like to get in contact with you. **The project** As a bioinformatician in our group, your key responsibilities will include: -...


  • Utrecht, Nederland Prinses Máxima Centrum Voltijd

    The Princess Máxima Center for Pediatric Oncology is an integrated hospital and research institute, which combines healthcare, research and education on pediatric cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal quality of life. Combined with leading scientific...

  • Phd in Neuroscience

    5 maanden geleden


    Utrecht, Nederland UMC Utrecht Voltijd

    A PhD position for a period of 4 years on transcriptomically identifying distinct mouse neurons, and virally targeting them to modify behavior. Terms of employment in accordance with the CAO hospitals and UMCU salary scales.**Elke dag de zorg en de gezondheid van mensen verbeteren**Goede arbeidsvoorwaarden**Jezelf continu blijven ontwikkelen vinden we...


  • Utrecht, Nederland Universiteit Utrecht Voltijd

    Research at the Clinical Infectiology (KLIF) section focuses on zoonotic, parasitic and foodborne pathogens and the emergence of antimicrobial resistance. The generation and analysis of sequencing data is part of our daily work for epidemiology, virulence and antimicrobial resistance determination, to assess the effects of interventions, and for diagnostics....


  • Utrecht, Nederland Universiteit Utrecht Voltijd

    Faculteit of dienst: Faculteit Bètawetenschappen Afdeling: Departement Biologie Uren per week: 32 tot 40 Uiterlijk reageren op: 27 februari 2024 Wat ga je doen? Utrecht University (UU) is at the forefront of addressing pressing environmental challenges, and in response to the increasing need for comprehensive ecological strategies, the Department of...