Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will 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. The Calico Postdoctoral Fellowship Program We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence. The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community. The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. About the Kelley Lab Our group develops deep learning methods for regulatory genomics. The goal is a comprehensive model of the human cis-regulatory code that predicts how every nucleotide in the genome affects cell-type-specific gene regulation. We apply these models to predict genetic variant effects, amplifying insights from human genetics by boosting statistical power across the allele frequency spectrum, pinpointing causal variants, and generating mechanistic hypotheses. Calico’s structure means close collaboration with experimental groups and access to rich longitudinal phenotyping across large human cohorts, which lets us connect sequence-level predictions to outcomes that matter for aging. To fully leverage this, we seek highly quantitative, deeply curious, and intellectually courageous collaborative team players who thrive in a multidisciplinary environment. We welcome proposals that address core questions in the application of machine learning to derive insights from genomics, connecting sequence-level predictions to outcomes that matter for aging.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree