The Senior Associate Scientist will apply biochemistry techniques and protein biophysical characterization to support projects on human aging and disease, working collaboratively with cross-functional teams.

The Scientist in Protein Sciences will apply biochemistry and biophysical techniques to understand protein interactions and support drug development, collaborating with cross-functional teams.

Lead the development and execution of biomarker strategies for oncology clinical trials, collaborating with various teams and ensuring data reliability.

The Automation Engineer will manage compound tracking processes, administer software tools, automate data handling, and collaborate on sample management plans.

The Data Scientist will analyze biobank-scale datasets to identify drug targets for age-related diseases, focusing on genetics and high-dimensional data analysis.

The Head of Data Science leads a team applying advanced computational methods to biological data, focusing on aging and disease research. Requires collaboration across multiple data types and disciplines.

The Senior Data Management Engineer will manage biological datasets, ensuring quality and accessibility while collaborating with scientists on data schema and best practices.

The Senior / Staff Machine Learning Infrastructure Engineer will develop and optimize ML infrastructure, define engineering best practices, and collaborate with research scientists to deploy models supporting Calico's mission.

Develop machine learning algorithms to model proteins, collaborate with biologists, and refine predictions while exploring relevant literature.

The Senior Scientist/Principal Scientist will lead research on neurodegeneration, employing biochemical and cellular techniques to uncover Parkinson's disease mechanisms and collaborate with interdisciplinary teams.

The Senior Machine Learning Engineer will develop algorithms for protein modeling, collaborate with biologists, and explore ML literature for innovative solutions.

The Project Team Leader guides drug discovery strategies, leads cross-functional teams, ensures timely decision-making, and manages project resources and risks.