Position description:
Calico is seeking an intern to join the Calico Applied Machine Learning (CAML) team. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized and comfortable working on complex problems. In this position you will study genomic rearrangements in cancer cell lines from ATACseq data. The successful candidate will work closely with members of the CAML team on adapting current ATACseq processing pipelines to capture rearrangement events and model changes in regulatory networks that are reposition enhancer elements.
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About our Program:
Calico’s internship program is a paid 12-week program over the summer for students interested in understanding the fundamental science of aging and finding treatments for the associated and intractable diseases. Working in a collaborative environment and fully embedded in one of our labs/teams, Calico interns tackle a unique project under the mentorship of at least one of our scientists or engineers. Students from all schools, and students who identify with a demographic that is underrepresented within the technology, data science, and healthcare industries are encouraged to apply. This includes but is not limited to Black, Latinx, Native American, students with disabilities, veterans, and non-binary people.
Yearly based
South San Francisco, CA