The Cortes-Ciriano group studies the mutational processes and mechanisms of genome instability underpinning tumorigenesis, immune escape, and drug response through the analysis of multi-omic, high-throughput data of tumors and pre-clinical models.
Ultimately, we aim to uncover novel pharmacological targets for cancer therapy and biomarkers of drug response. More information about the group can be found on our website.
We invite applications for a Postdoctoral Fellow position in the field of cancer genomics. We are looking for an intrinsically motivated, talented, and hypothesis-driven individual with experience in analyzing high-throughput sequencing data sets. This position is an excellent opportunity for individuals looking to gain in-depth knowledge and expertise in cancer genomics and to develop bioinformatic skills for analyzing and interpreting large genomic data sets.
You will be expected to lead the development of scalable and creative computational solutions for cancer multi-omic data integration. Specifically, your project will involve developing computational pipelines for analyzing and interpreting Illlumina and Oxford Nanopore sequencing data (bulk and single-cell data) from human tumor samples that our clinical collaborators have collected. The results of these analyses will be combined with those obtained by major pan-cancer genome analysis efforts (e.g. PCAWG and Genomics England) in order to inform the design of additional sequencing experiments. It is essential that you are dedicated to lead your own project while also being a team player and willing to engage with our international collaborators. You will enjoy substantial freedom to design novel algorithms for sequencing data analysis and to explore your own hypotheses. Your project will benefit from close interactions with the clinical oncology laboratories generating the sequencing data.
Candidates interested in long-read sequencing data analysis are particularly encouraged to apply.