Postdoctoral and PhD Positions at the interface of Immunopeptidomics/proteomics, Tumor Immunology and Therapeutic Vaccines
As part of the national initiative ONCODE-Accelerator, the Hecklab @Utrecht University has multiple job openings related to the field of cancer vaccine development. We seek talented and motivated people for multiple research projects with a range of expertise, including LC-MS-based immunopeptidomics, proteomics, bioinformatics and tumor immunology. Within the Therapeutic Vaccines program of the ONCODE Accelerator, we primarily develop and use MS-based proteomics and immunopeptidomics workflows with the aim of identifying novel antigen targets that will be used for cancer vaccines. The target discovery platform integrates multi-omics expertise, and it is co-led by Dr. Sebastiaan van Heesch of the Princess Maxima Center for Paediatric Cancer Care (expertise in ribosome profiling and RNAseq) and Dr. Albert Heck of Utrecht University (expertise in MS-based proteomics and immunopeptidomics).
We have several job openings for technicians, PhDs, and Postdocs.
These include:
Position 1. Desired expertise: technical knowledge of LC-MS-based proteomics/ immunopeptidomics workflows.
Aims: Develop highly sensitive and alternative immunopeptidomics workflows for sample preparation, chromatography, MS acquisition, fragmentation, and data analysis. Execute state-of-the-art immunopeptidomics experiments with a focus on improving the detection of HLA class I and II peptides (including post translational modifications).
Position 2. Desired expertise: tumour immunology, LC-mass spectrometry-based immunopeptidomics and proteomics in combination with RNA sequencing and ribosome profiling.
Aims: identify,quantify and characterize the underlying biology of novel cancer-specific targets from patient-derived tissue samples and/or organoids.
Position 3. Desired expertise: Bioinformatics, machine learning, multi-omics integration and computational mass spectrometry.
Aims: Develop and maintain high-quality pipelines for processing and visualizing large-scale proteogenomics data. Analyse and integrate immunopeptidomics data from various MS acquisition methods (DDA, DIA, PRM) with transcriptomics, ribo-seq and ribosome profiling data. Bring expertise in machine learning for applying it in the exciting fields of immunopeptidomics, proteomics and vaccine development.
Position 4. Desired expertise: Lab management, technical development in mass spectrometry and chromatography applied to immunopeptidomics/proteomics.
Aims: Opening for a highly motivated lab manager to join our team with passion for, and expertise in, separation sciences and MS-based immunopeptidomics and/or proteomics. You will oversee maintenance and development of equipment at both sites involved in this joint program at the Science Faculty of Utrecht University & Princess Maxima Centre. The lab manager will be expected to support the research group and its collaborators in the day-to-day operations with sample preparation across different projects. Additional opportunities including mammalian cell culture and antibody production from hybridomas.