Research Assistant in Computational Cancer Immunology

We are looking for a research assistant in computational cancer immunology for a fixed-term position at the School of Medical Sciences at Örebro University.

Background

The position is part of a research project focused on understanding and predicting T-cell receptor recognition of tumor antigens in neural crest–derived cancers, particularly melanoma and neuroblastoma. These tumors are characterized by complex interactions with the immune system, and improving our ability to predict TCR specificity may contribute to the development of more precise immunotherapies.

The project integrates computational analysis of immune receptor sequencing data, machine learning approaches for TCR prediction, and translational collaboration with clinical and laboratory teams. The successful candidate will work in an interdisciplinary environment combining bioinformatics, cancer immunology, and clinical research, and will interact with researchers at Örebro University as well as collaborators in hospital and laboratory settings.

Duties and responsibilities

The research assistant will contribute to ongoing research projects focused on computational prediction and analysis of T-cell receptor-antigen interactions in neural crest-derived tumors, particularly melanoma and neuroblastoma. The position will also involve participation in the analysis of single-cell sequencing data (e.g., scRNA-seq and immune repertoire profiling) to characterize tumor and immune cell heterogeneity within the tumor microenvironment, with the aim of integrating these datasets to better understand tumor-immune dynamics and mechanisms relevant to immunotherapy.

Specific responsibilities include:

Assisting in the analysis and interpretation of TCR sequencing and related immunogenomic datasets.

Supporting the development and execution of computational pipelines for TCR prediction.

Working with datasets derived from tumor samples and immunological assays.

Running analyses on high-performance computing systems using Li