Who we are:
Calico is a research and development company whose mission is to understand the biology of aging, and to help people to lead longer and healthier lives. We aim to combine the best biomedical science with cutting edge technology and computing. We are building a new and unique culture of true partnership between the best biomedical and computational scientists, within a company that is both a nimble startup but also has a firm financial footing.
Biology is rapidly becoming a data science due to the exponential growth in high-quality biological and medical data. These data are transforming our understanding of biology and disease, but deriving valuable scientific insights requires a careful analysis and interpretation of data done in close collaboration between computational and life scientists. Calico is seeking a strong leader to grow and lead a world-class team to further develop new data analysis pipelines and bioinformatics methods to derive insights from a diverse set of data.
You and your team will collaborate closely with some of the world’s best life scientists to design new experiments, and help analyze data - both internal and external - to derive new and ground-breaking discoveries in human health. The data that your team will tackle will span multiple organisms (from yeast to human), scales (from molecules to entire organisms), data modalities (from physiology to sequencing to imaging to free text), and time scales (from single time points to continuous time series). You will develop processes to understand the computational needs of the organization and work with other leaders in the organization to help prioritize different efforts and allocate resources accordingly. You will collaborate closely with our Data Platform and Machine Learning teams as they develop new analytical tools and methods and make these tools robust and reusable. You will promulgate the use of these tools and other state-of-the-art methods across the organization, and help our scientists use those to perform robust and impactful analyses. To help support our growing needs in this area, you will also be responsible for hiring and mentoring computational biologists, and in educating others across the company regarding the challenges of analyzing biological data and the choice and use of methods and tools.