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Intern, Statistical Genetics (MS or PhD)

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Science
  • San Francisco

Requirements

  • Currently pursuing a MS or PhD degree in Genetics, Biomedical Informatics, Computational Biology, or related field
  • Experience working with genetic and -omic datasets
  • Knowledge of methods in statistical genetics, such as common-variant / rare-variant association tests, molecular QTL mapping, fine-mapping, etc.
  • Strong analytical and quantitative skills and independent problem solving skills
  • Detail-oriented and organized
  • Strong teamwork and communication skills
  • Self-motivated with a “can-do” attitude
  • Flexible, able to respond quickly to shifting priorities and able to multitask
  • Nice to have:
  • Experience in analyzing longitudinal data
  • Experience in genetic analysis of multivariate data
  • Experience in the biology of sleep

Responsibilities

  • Conduct genetic and molecular association studies of sleep behaviors in mice
  • Characterize shared sleep behaviors between mice and humans, and their effects on age-related disease
  • Work closely with biologists to develop therapeutic hypotheses focused on modulating sleep, and design experiments to test these hypotheses

We're tackling aging, one of life's greatest mysteries

Science & Healthcare
Industry
201-500
Employees
2013
Founded Year

Mission & Purpose

Calico 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. We 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. Calico is currently seeking exceptional candidates who share our passion for understanding the science of aging and developing therapeutics to address age-related diseases.

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