The Center for Translational Data Science is pioneering translational data science to advance biology, medicine, healthcare, and the environment. We’re a dedicated team of researchers and engineers drawing from different backgrounds and ideas to push the boundaries of data-intensive science. We work closely with academic, government and industry researchers in various fields of the Biological Sciences, and we develop and operate large-scale, open-source data clouds and data commons for the scientific research community, including the Bionimbus Protected Data Cloud, OCC Open Science Data Cloud, and the NCI Genomic Data Commons. These computational platforms support hundreds of users across the world with varying technical skills, backgrounds, and research objectives.
To apply, visit ctds.uchicago.edu/internships. Candidates who are reviewed favorably will be invited for an interview with their potential mentor(s). Submissions are accepted on a rolling basis, therefore applicants are encouraged to submit their applications early. The final application deadline is June 1st.
As an intern, you will contribute toward solving biomedical problems through open-source analytical solutions. You will develop technical skills across data engineering, data science, bioinformatics, and software engineering. Interns will have opportunities to learn from staff mentors with experience building national-scale research cyberinfrastructure.
Undergraduate, graduate, and doctoral students and recent graduates are all welcome to apply. Applicants should have programming experience, a keen interest in using data to advance biomedical research, and the ability to learn new skills and tools quickly and independently. Visa sponsorship is not offered.
Internships will be located at our Shoreland location in Chicago, IL.
June 17, 2019 - September 20, 2019
Applicants are encouraged to review available projects and indicate their professional interests and project preferences on the application. Internship assignments will take both skills and interests into account.