Descrizione dell'offerta
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.
More About The Position
The researcher will develop and establish an Ig‑seq platform bridging immunoglobulin profiling, B‑cell receptor (BCR) repertoire sequencing and serology. The proposed project aims to investigate the polyclonal humoral immune response to a model viral antigen in human samples from pre‑exposed individuals. It integrates 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 research involves developing de‑novo sequencing workflows for antigen‑specific antibodies, building proteogenomic pipelines, and performing computational modeling and machine learning for antibody identification, epitope prioritization and cross‑cohort comparisons.
Key Duties
- BCR library preparation and sequencing workflows.
- Implementing bioinformatics pipelines for clonotyping, lineage tracing, and proteogenomic integration.
- Performing comparative analyses with published datasets.
Qualification Requirements
- Doctoral degree in proteomics.
- Hands‑on experience with LC‑MS/MS method development for proteins/antibodies, including sample preparation, instrument setup and troubleshooting.
- Proficiency in Python/R, scientific computing and reproducible research practices (Git, containers/workflows).
- Ability to build and run bioinformatic pipelines for de‑novo peptide sequencing, spectral annotation and 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 machine‑learning frameworks (PyTorch/TensorFlow) and benchmarking.
- Prior experience integrating proteomics and repertoire sequencing (immunoproteogenomics).
Personal Skills
- Collaborative, adaptable and effective in an interdisciplinary, ambitious environment.
- Independent, solution‑oriented and organized; strong scientific rigor and documentation practices.
We offer
- Exciting and meaningful tasks in a society‑mission organization.
- A scientifically rich, interdisciplinary and international environment at GSK Siena with access to state‑of‑the‑art proteomics and flow cytometry facilities.
- Advising and mentorship by Prof. Victor Greiff and opportunities for collaboration across immunology, proteomics and computational teams.
- Professional development, training and conference participation.
- Committed colleagues in a good working environment.
- Good welfare schemes.
- Opportunity of up to 1½ hours a week for exercise during working hours.
- A workplace with good development and career opportunities.
- Membership in the Statens Pensjonskasse, Norway’s pension scheme with beneficial mortgages and insurance schemes.
- Salary in the Researcher position (code 1109) ranging from NOK 640 000 to 760 000, depending on competence and experience. 2 % is deducted for statutory contributions to the State Pension Fund.
Equal Opportunity Statement
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. We will do our best to accommodate your needs, including modifications to working hours, task adaptations, digital, technical or physical adjustments, or other practical measures.
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