Postdoc in T Cell Immunoinformatics - Kongens Lyngby

The Section of Bioinformatics DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently we together with a leading external pharma company party are seeking a highly talented and motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity

HLA class II antigen presentation is fundamental to T-helper cell immunogenicity. Over the past decade this process has been well characterized and robust methods have been developed to predict it with high confidence. In contrast our understanding of the principles governing T-cell immunogenicity of HLA-presented peptides remains limited.

This gap significantly restricts the utility of current antigen presentation quantification tools—both in silico and experimental—hindering early immunogenicity risk assessment during protein drug development A deeper understanding of the mechanisms driving T-cell activation would represent a paradigm shift in biologics development. However progress is constrained by the scarcity o high-quality well-characterized in vitroT-cell immunogenicity data.

In this project we will leverage expertise technology in peptide -cell immunogenicity with DTUs strengths in immunoinformaticsmachine learning to address this challenge Our work will provide novel insights into currentT-cell activation assays datasets enable development first predictive model forT-immunogenicITY HLAPresentedpeptides context protein therapeutics

If youre looking launch your scientific career at intersection bioinformatics machine learning position supports pathway toward academic excellence research independence whilst also offering unique opportunity gain hands-on experience global pharmaceutical leader 

Responsibilities qualifications

Jobbeskrivelse