Bioinformatics Postdoctoral Fellow in Cancer Immunology
Bioinformatics Postdoc in Cancer Immunology
La Jolla Institute for Allergy and Immunology
We are looking to expand our team with a Bioinformatics Postdoctoral fellow who is up for the challenge of working at the interface of computational, experimental and clinical science. The Peters lab has a long-standing track record of developing and contributing to computational algorithms for T cell epitope identification that are now in broad use in the cancer community even though they were originally intended to be applied for infectious diseases. The candidate will join our recently started effort to develop cancer specific computational tools to aid in the identification of T cell epitopes specific to tumors, and work with data from our network of clinical and experimental collaborators to develop improved algorithms as well as aid in the design and interpretation of experiments.
– High-Throughput Sequencing data analysis (exome and transcriptome from bulk and single-cell sequencing)
– TCR sequence analysis
– application and development of state-of-the-art analysis tools
– communicate with clinical collaborators and aid in translational study design
– PhD degree, ideally in Computational Biology or Bioinformatics (candidates with equivalent skills and interests in computer science, statistics, and biomedicine will be considered)
– experience with at least one programming language is required (e.g. Python, R, or Perl)
– experience with High-Throughput Sequencing data
– experience with TCR sequence analysis is a strong plus
– knowledge of or strong interest in cancer biology and immunology is a strong plus
Salary will be commensurate with experience.