Scientist, Aging Metabolism

Dr. Mariia Yuneva’s laboratory at Calico is seeking a highly motivated scientist to join and lead discovery research projects in the metabolism of aging group. Specifically, we are interested in applicants with a long-term interest in understanding metabolic mechanisms in normal physiology and pathology, including cancer. We seek expertise in combining cutting-edge molecular and biochemical techniques, including transcriptomics and metabolomics, with in vitro and in vivo models to uncover metabolic interactions in health and disease. Join our collaborative, cross-functional environment at the forefront of aging research, work alongside world-class technology labs, and lead ambitious research projects that could transform our understanding of aging.

Responsibilities:

• Perform basic research to determine metabolic mechanisms underlying aging process
• Develop approaches to evaluate metabolic interactions between specific cell types during aging
• Publish papers and present findings both internally and at scientific conferences

Position Requirements:

• PhD or MD/PhD in cell/molecular biology, biochemistry or a related field with 0-5 years of postdoctoral and/or industry experience
• Experience working with animal models to study human disease and/or aging
• Deep knowledge of cellular and organismal metabolism and physiology
• Strong working knowledge of genetics, cell biology and molecular genetics
• Detail-oriented, organized and driven
• A track record of strong research productivity
• Strong teamwork and communication skills
• Flexible, able to respond quickly to shifting priorities and able to multitask
• Must be willing to work onsite five days per week

Nice to Have:

• Experience with mass spectrometry to measure metabolites and/or lipids and/or proteins
• Experience using stable isotope labeling to understand metabolic fluxes in vitro and/or in vivo
• Experience with integrating multiomics data
• Expertise in immune biology and immune cell cultures
• Competence with mammalian tissue culture, in vitro gene editing techniques (CRISPR/Cas9, viral transduction) and basic molecular biology methods
• Familiarity with R or Python for data analysis and visualization

The estimated base salary range for this role is $127,000 – $155,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.