Scientist /Senior Scientist, Aging Biology

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to deepen our understanding of the biology that controls human aging. Calico aims to use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description

• We are seeking a highly motivated and creative Scientist/Senior Scientist, Aging Biology to join our Translational Medicine team.
• This role is pivotal in elucidating the mechanism of action (MOA) of therapeutic targets within our aging biology pipeline.
• The successful candidate will be responsible for defining the molecular and cellular pathways that are fundamental to the program's biology.
• This role is critical for translating novel in vivo findings into a deep mechanistic understanding to guide its path toward clinical development.
• The ideal candidate will bring deep expertise in cell biology, MOA studies, and complex signaling pathways to this challenge.

Responsibilities

• Independently design and lead experimental strategies to elucidate the molecular and cellular mechanisms of action for aging targets and biomarkers, generating insights that guide program direction
• Conduct in vitro and ex vivo studies to investigate target biology in key aging-related processes, including stem cell function, tissue repair, and signaling or transcriptional regulation
• Compare acute and chronic pathway modulation in tissue injury and aging models to understand how stress responses and repair mechanisms evolve with age
• Investigate the molecular drivers of in vivo phenotypes in preclinical aging models to identify biomarkers and translatable mechanisms relevant to clinical development
• Collaborate with in vivo pharmacology and biomarker teams to select and leverage preclinical models that best probe target biology
• Partner with cross-functional groups (e.g., Biomarkers, Genomics, Protein Sciences) to integrate multi-omic datasets and build a comprehensive mechanistic framework