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  • Last Edited: 2021-05-28 08:47:46

  • Last User:  james

Tidepool


Tidepool is a 501(c)(3) nonprofit organization. We were founded by people with diabetes, caregivers, and leading healthcare providers committed to helping all people with insulin-requiring diabetes safely achieve great outcomes through more accessible, actionable, and meaningful diabetes data. We are committed to empowering the next generation of innovations in diabetes management. We harness the power of technology to provide intuitive software products that help people with diabetes. Tidepool intends to deliver Loop as a customer-supported, FDA-regulated mobile app in the App Store.

2d

Data Science Intern

TidepoolPalo Alto, CA, Remote
qa ● python

Tidepool is hiring a Remote Data Science Intern

Job Description

Please note that due to the nature of this role and its requirements, candidates must be geographically located in the United States, and authorized to work. 

We are looking for an enthusiastic and highly motivated Data Science Intern to join our team. Data Science Interns at Tidepool partner closely with cross-functional team members from Software Engineering and Quality Assurance, and more. 

As a Data Science Intern at Tidepool, you will be embedded in a team working on novel biotechnology projects that will ship out to our users and clinical partners. You will work on research projects with real impact, taking ideas from conception through execution.

Qualifications

Essential Duties and Responsibilities:

  • Work on the next generation of automatic insulin delivery (AID) algorithms.
  • Develop well-crafted, rigorous, and clear data science analysis.
  • Stay up to date with the literature on diabetes technologies.
  • Present and discuss journal articles.
  • Work directly with data scientists, QA engineers, and other developers.

Qualifications: 

  • Experience with python required, experience with MATLAB would be a bonus.
  • A strong foundation in one or more of the following would be a significant plus:
    • Differential equations and numerical integration methods.
    • Biology/physiology.
    • Control theory (PID, MPC, etc.).
    • Machine learning.
  • Familiarity with version control. We use GitHub.
  • Awareness of general coding best practices, documentation, and testing.
  • You are curious and enjoy exploring new domains of knowledge.
  • You are intrinsically motivated.
  • You use your own judgment to move work forward and to seek guidance when needed.

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