Computational Biologist - Human Epidemiology & Genetics

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 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.

Position description:

Calico is seeking an experienced computational biologist interested in studying large human populations to derive insights into human aging. In this role, you will work with observational data from large human biobanks to identify and characterize biological processes that underlie age-dependent physiological decline and related pathologies. You will integrate insights from genetics, biochemistry, physiology, and clinical diagnoses to uncover causal relationships and develop hypotheses that will lead to experimental validation. You will be expected to perform independent research and join collaborative projects led by a vibrant community of human epidemiologists, systems physiologists, and geneticists. You will be encouraged to actively participate in defining the scientific direction of the group by proposing novel research directions, strategic investments, and partnerships.

Responsibilities:

• Devise, implement and lead research projects focused on identifying and characterizing aging phenotypes using data from large human biobanks.
• Use statistical associations, causal inference methods and biological knowledge to generate hypotheses and design experiments to validate them.
• Work in close collaboration with an interdisciplinary group of experimental scientists, computational biologists, and statisticians.
• Present results at internal and external meetings.
• Publish results in scientific journals and release open-source code.

Requirements:

• A PhD degree in biology, genetics, computer science, statistics or related fields.
• 5+ years of experience in statistical genetics and/or epidemiology (including PhD). Post-graduate experience (post-doc or industry) is a plus.
• Strong coding skills in Python and/or R.
• Strong interest in understanding the molecular mechanisms underlying statistical associations.
• Track record of completed scientific projects as evidenced by publications and preprints.
• Ability to work independently, ask questions and seek help when needed.
• Must be willing to work onsite at least three days per week.

Calico requires all new hires to be fully vaccinated for COVID-19 prior to the first date of employment.  As required by applicable law, Calico will consider requests for Reasonable Accommodations.