Summary of position
Genocea finds targets of T cell responses to discover and develop life-changing medicines. We have a pipeline of novel vaccine and immunotherapy programs that stimulate the T cell arm of the immune system, which is critical to generating protective immune responses against a wide array of diseases. We design our medicines using ATLAS™, our proprietary technology platform. Our platform has the potential to revolutionize vaccines and immunotherapies for a range of cancers, infectious diseases and autoimmune diseases.
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 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
- Development and implement 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
- D. or M.Sc. in Bioinformatics, Computational biology, Computer science or other related fields with 2+ 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, TCGA)
- Knowledge of programming, scripting and statistical languages. Experience with R andPython is preferred.
- Demonstrated ability to present data to a multidisciplinary audience in a clear and cohesive manner
- Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment
- Excellent teamwork, time management and organizational skills