Search the 7 jobs at Calico Life Sciences

Lead preclinical in vivo pharmacology studies in areas such as inflammation and metabolism. Develop pharmacodynamic and efficacy models, and establish PK/PD relationships. Collaborate with cross-functional teams and prepare research findings for publications.

The Senior Research Associate will join the Protein Sciences team, applying biochemistry techniques to support projects on human aging and disease. Responsibilities include conducting biochemical and biophysical assays, protein purification, and presenting results to cross-functional teams. The role requires strong communication skills and attention to detail.

As a Scientist in the Genomics Technology Lab, you will design and conduct experiments, analyze and interpret genomic data, and collaborate with machine learning and image analysis teams to innovate spatial transcriptomics methods.

The Functional Genomics Scientist will design and apply functional genomics assays, execute large-scale perturbation screens, and analyze multimodal genomics datasets. The role involves collaboration with cross-functional teams to address complex biological questions related to aging and age-related diseases.

The Principal Data Scientist will design and implement innovative data analysis strategies for proteomics research, focusing on data from large patient cohorts and profiling experiments. This role involves maintaining in-house algorithms, deploying external tools, and collaborating with scientists for custom analyses and insights.

The Proteomics Scientist will lead proteomics method development, optimize LC-MS methods, maintain mass spectrometry instruments, conduct data analysis, and collaborate on various research projects, while publishing findings in scientific forums.

The Data Scientist/Senior Data Scientist will develop data analysis strategies, write algorithms, and analyze proteomics data from patient cohorts and profiling experiments. They will maintain software tools, work collaboratively with various teams, and support the needs of scientific personnel in data analysis and interpretation.