Who we are:
Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan, and to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.
Calico is seeking a strong frontend software engineer to become a founding member of a small, world-class team that develops, productionizes, and maintains Calico’s data platform, including its data warehouse and a code base of high-quality data processing, analysis, and visualization algorithms. Here you will work in close collaboration with some of the world’s best life scientists and enable them to achieve ground-breaking discoveries in human health. You will do so by creating something new in a company that is both a nimble startup but also has a firm financial footing.
As a member of the Data Platform team you will work closely with computational biologists, machine learning experts, and scientists to design and build tools that accelerate research and help derive insights from data produced by Calico, by Calico’s collaborators, and from publicly available sources. You will perform user experience research to ensure these tools meet the scientists’ needs. Relevant data will span multiple organisms (from yeast to human), scales (from entire organisms to molecules), data modalities (from physiology to sequencing to imaging to free text), and time scales (from single time points to continuous time series). The team will build and maintain a data warehouse that stores this data in an organized format with metadata, and allows easy exploration, analysis, and visualization of this data by our scientists. You will also build UIs for the team’s repository of scalable, reusable tools for data processing and visualization, machine learning, and natural language processing.
As a founding member of this new team, you will be a key part of setting the vision on how a data platform can best provide a productivity multiplier to our biological and computational scientists as they work toward finding solutions to help improve human healthspan.
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