D3.js Front-End Data Engineer

Background:We are a group at gRED Data Science and Statistical Computation with a focus on developing methods and systems to support interactive analysis of genomic data. We have two overarching goals in the group: (a) enable Genentech science and discovery by building effective and efficient data analysis software systems; and (b) develop new cutting edge visualizations for genomic data analysis that we disseminate as open source software and publications in the scientific literature. We are looking for a Data Visualization software engineer to join our group to help with projects in large-scale cellular and tissue profiling initiatives using sequencing and imaging technologies.Responsibilities:Creating effective, beautiful, and usable interactive data analysis interfaces to visualize, explore and interrogate integrated data from diverse technologies and biological systems, in particular spatial transcriptomics and other imaging based technologies.Developing highly performant, responsive, interactive analysis software for large datasetsWork with business analysts, computational scientists, and other software engineers to understand and conceptualize the complex, emerging needs of our scientists, whether they are working at the keyboard or the bench.Collaborate with local and off-shore engineering teams to support your software development efforts.Contribute to the broader scientific community through open-source software development.Successful candidates will satisfy many of the following requirements:BS or higher in bioinformatics, computer science, mathematics or related fields.5+ years experience (including any graduate school) developing tools for interactive data analysis and visualization. Seniority of position will depend on experience and other factors.Expertise in modern JS (ES6) programmingExpertise with high performance web-based visualization technologies, e.g., WebGLKnowledge of WebGPU is a plus but not a requirementFamiliarity with UI design best practices, usability testing and iterative designDemonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction.Biological domain knowledge, specifically in single cell genomics, and basic data analysis skills are desirable but not required.Familiarity with formal build/release/deploy and continuous integration frameworks is a plus.In addition:You are enthusiastic about working in a scientific environment, especially one that is related to drug discovery and development.You are a quick learner, are curious about new areas and the opportunity to build expertise, and courageously and creatively take initiative to see your ideas implemented.You are attracted by the challenges of developing software that solves universal problems in bioinformatics.You are able to perform at a high level in a fast changing and demanding environment.You are pragmatic about the tradeoffs between features, quality, and timeliness. #J-18808-Ljbffr