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About the position Applicants are invited to apply for a two-year Researcher position (SKO 1109) in immuno-proteomics (hands-on biology). The position is based at the Department of Immunology, Division of Laboratory Medicine, Institute of Clinical Medicine, University of Oslo. The position is available from July 2026 with a flexible start date between July and September 2026. It is a full-time role physically based at GSK Vaccines S.r.l. in Siena, Italy, within the MS Structural Biology, Ab Discovery and Immunology unit. Scientific advising and guidance will be provided by Dr. Greiff (Lab for Computational and Systems Immunology, greifflab.org). The researcher will develop and establish an Ig-seq platform bridging immunoglobulin profiling, B-cell receptor (BCR) repertoire sequencing and serology. More about the position The proposed project aims to investigate the polyclonal humoral immune response to a model viral antigen in human samples from pre-exposed individuals. This research integrates advanced techniques, including antigen-specific B-cell sorting, B-cell receptor (BCR) sequencing, and LC-MS/MS-based identification of circulating antigen-specific antibodies. The goal is to link B-cell clonotypes to serum immunoglobulins and resolve functional proteoforms through an immunoproteogenomics approach. The project will involve developing de novo sequencing workflows for antigen-specific antibodies, building proteogenomic pipelines to assemble VH/VL sequences and identify clonotypes. Data will be integrated matching BCR repertoires of PBMCs, tonsil tissue, and matched sera from GSK human biological samples. Computational modeling and machine learning will be essential for antibody identification, epitope prioritization, and cross-cohort comparisons. The project focuses on deconvoluting pathogen-specific humoral responses to a seasonal viral pathogen by combining paired BCR repertoire sequencing with antigen-resolved LC-MS/MS proteomics. The candidate's responsibilities will encompass the development and analysis of mass spectrometry methods for antibody isolation and characterization, as well as designing and validating multiparameter flow cytometry panels for antigen-specific B-cell and plasma cell identification and sorting. The role demands rigorous data stewardship, collaboration with immunology, proteomics, and bioinformatics teams, primarily at GSK Siena, and contributing to the dissemination of research findings. Key Duties  BCR library preparation and sequencing workflows, Implementing bioinformatics pipelines for clonotyping, lineage tracing, and proteogenomic integration Performing comparative analyses with published datasets.  Qualifications Qualification requirements Appointment to the position of researcher in position code 1109 requires a doctoral degree in Proteomics Hands-on experience with LC-MS/MS method development for proteins/antibodies, including sample prep, instrument setup, and troubleshooting. Proficiency in Python/R and scientific computing, and reproducible research practices (Git, containers/workflows). Ability to build and run bioinformatic pipelines (de novo peptide sequencing, spectral annotation, FDR control). Excellent written and oral communication skills in English.   Desired qualifications Expertise in immune receptor immunology (BCR/TCR) and repertoire analytics (clonotyping, lineage tracing, SHM, germline inference). Experience with BCR repertoire analysis (Bulk and/or single cell) Experience with advanced Flow Cytometry and Cell Sorting. Structural biology/protein informatics relevant to antibody-antigen interactions and developability assessment. Experience with complementary fragmentation methods (HCD/ETD/EThcD), intact/middle-down workflows, and disulfide/glycoform mapping. High-performance/parallel computing; familiarity with ML frameworks (PyTorch/TensorFlow) and benchmarking. Prior experience integrating proteomics and repertoire seque