Computational Biologist


We are seeking a talented and highly motivated Computational Biologist, to provide technical expertise and leadership to drive advanced computational methods enabling vaccine discovery for oncology, infectious disease and autoimmune indications. The successful candidate will possess the ability to work within a multidisciplinary discovery team to lead development and implementation of innovative computational tools to facilitate novel vaccine development.



  • Work within an interdisciplinary team of molecular biologists, cellular biologists, computational biologists and software engineers focused on developing novel vaccine candidates with our ATLAS™ antigen discovery platform
  • Lead the development and implementation of automated methods, analytical tools and software to deliver insights and hypotheses from multi-dimensional biological data sets
  • Process, analyze and interpret high volumes of cellular profiling data as part of internal and external scientific studies
  • Integrate innovative analysis and visualization tools for multi-omics data sets, in the context of studies of cancer-patient samples
  • Present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner
  • Work independently and prepare timetables, deliverables, and project schedules
  • Lead a team of computational scientists responsible for multi-dimensional research and clinical data analysis



  • Ph.D. or M.Sc. in Bioinformatics, Computational biology, Computer science or other related fields with 5+ years of relevant post-graduate research experience, preferably including biotech/pharma experience
  • Strong scientific understanding of cellular biology, molecular biology and genomics is desirable, including experience with transcriptomics, proteomics or cellular profiling data
  • Experience in cancer or immunology research is preferred
  • Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context.
  • In depth knowledge of relevant public and proprietary databases, methods and tools (NCBI, UCSC Genome Browser, IGV)
  • Knowledge of programming, scripting and statistical languages such as R, python, C++, Java, and Perl is highly desirable
  • Demonstrated ability to present data (oral and written) to a multidisciplinary audience in a clear and cohesive manner

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