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.
Biology is in many ways becoming a data science, with an ongoing explosion in the amount and quality of biological and medical data. These data can be transformative to our understanding of biology and disease, but the tools to store, process, and analyze these data lag far behind what’s needed. Calico is seeking a strong, full stack software developer, with experience building lab management software, to become an early member of a small, world-class team that develops, productionizes, and maintains Calico’s data platform, a system to store and process the scientific data generated and used by Calico scientists. 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 alongside our UX/UI designer and other software engineers to create internal, web-based applications to facilitate interactions between scientists and Calico’s core laboratories (Genomics, Mass spectrometry, Biochemistry, FACS, and Microscopy) as well as custom, high-throughput instruments developed by Calico. Your work will expedite the research at Calico and improve the quality of the biological data. Your work will also improve collaboration between scientists by centralizing and normalizing the metadata for scientific samples. Our stack includes React, Apollo, GraphQL, Flask, Apache Airflow, Docker, Kubernetes, and Google Cloud Platform.
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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