BIOINFORMATICS ASSOCIATE SCIENTIST/SCIENTIST, CANCER IMMUNOTHERAPY
Organisation Name: GENENTECH
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The Position Exciting developments at Genentech and elsewhere have demonstrated the potential of leveraging the human immune system for effective and durable control of cancer. We seek a talented and highly motivated computational scientist to conduct scientific research and develop computational methods for personalized cancer immunotherapies (neoantigen-specific T-cell and vaccine therapies). This is an exciting opportunity to work on cutting-edge immuno-oncology therapeutics approaches, and to make a meaningful impact on cancer patient treatments. The incumbent will join the Oncology Bioinformatics Department in Research and work closely with Scientists in our Cancer Immunology Department, as well as participating actively in cross-functional therapeutics development teams. Applicants should have a strong track record conducting computational research, collaborating with other scientists, and presenting their work to diverse audiences. The ideal candidate has expertise in cancer genomics or immuno-genomics, machine learning and deep learning/AI methods, good data science intuition, and can approach scientific problems with a deep appreciation for the underlying biology. The focus and responsibilities of the position include devising strategies to target neoantigens and the immune synapse, developing computational tools and methods that enable cancer immunotherapy research, and analyzing large clinical and pre-clinical data sets as part of these broader efforts. You would work closely with a group of other computational biologists who are working on neoantigen-specific therapies. And you should ideally be comfortable with advising on NGS data analysis pipelines, identifying and bringing in-house relevant large data sets, staying abreast of current developments in the field, and presenting at regular group and department meetings. Who you are You have a PhD in Computational Biology, Bioinformatics, Cancer Genetics/Genomics, or similar field You have First or co-first authored publications in peer-reviewed journals You have outstanding communication and collaboration skills You have good experience with high-level programming languages such as Python or R, and with ML/AI analysis packages (e.g., Keras/PyTorch/TensorFlow or the equivalents in R) You have a strong background in cancer ‘omics or immune-omics (basic knowledge of immunology is preferred) You have strong experience with high-throughput data and multi-dimensional data analysis, including NGS data. And you understand the statistical principles behind current best practices in high-throughput data analysis. You are fluent with Linux and HPC environments; R/RStudio or Python/pandas for data analysis, visualization, and statistics; and source control tools such as GitHub/Bitbucket (experience with cloud compute platforms, containers, and/or database systems is a plus) Postdoc experience a plus but not required What to expect from us A highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology and immunology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health. Access to clinical data sets and samples. Access to state-of-the-art technologies and pioneering research. Participation in seminar series featuring academic and industry scientists. Campus-like lifestyle with a healthy work-life balance. Mentored opportunities to further develop professional skills.
