Increase immunotherapy designs by integrative genomics
When designing immunotherapies, it is essential to be able to precisely identify the differences in the genomes of cancer cells compared to healthy cells. Increasing the confidence in calling non-canonical variants, such as neoisoforms, and gene fusions, is thus a highly-aimed goal. This can be obtained via integrative genomics and would be the goal of this internship: Correlating DNAseq & RNAseq for neoisoforms identification; and correlating WGS coverage in regions where gene fusions have been detected.
Profiles we are looking for • Experience in NGS data handling, processing, and analysis• Familiar with biological databases design, curation, and maintenance• Python (preferred) or R programming skills • Cancer biology background is a plus (cancer metabolism, tumour genomics, innate immune responses)• Strong interest in cancer research and personalized therapeutics is highly recommended• Critical about assessing implications of research and able to convert them into pathway functionalities• Team player who is able to be flexible and work independently