Mobile Health Analytics Intern

Sage Bionetworks Seattle , WA 98113

Posted 2 months ago

Mobile Health Analytics Intern

Sage Bionetworks, Seattle WA

At Sage Bionetworks, we believe that we can learn more by learning from each other. By improving the way scientists collaborate, we help to make science more effective. We partner with researchers, patients, and healthcare innovators to drive collaborative science to improve health. Making science more open, collaborative, and inclusive ultimately advances biomedicine.

To promote the future of open science, we have established an internship program for early career researchers to train with us and gain real-word experience in performing responsible and reproducible research. We are seeking a Mobile Health Analytics Intern for a six-month paid internship starting in summer 2020. As a member of our team, you will be mentored by senior scientists at Sage Bionetworks to contribute to large scale mobile based clinical studies that use wearable sensors and smartphones to quantify symptoms of disease and health. You will analyze real-time data streaming from thousands of participant phones and help us design the next generation of research and health applications. Benefits of interning at Sage include working with unique mobile health datasets and scientific projects, learning professional data science and software engineering skills in the context of mobile health, and furthering Sages mission of promoting open science. If you are looking to build a career in health informatics and want to be part of the mobile health revolution, we would love to hear from you!

What youll be doing: (key job responsibilities)

  • Processing and integrating remote sensor data using cloud computing.

  • Prototyping and testing new services for mHealth data including visualization, documentation, and computation.

  • Performing signal processing and feature extraction from sensor data.

  • Applying supervised and unsupervised machine learning methods to quantify disease.

  • Automating the execution of new analysis methods using scripting and statistical programming

Wed love to hear from you if you: (basic skills/qualifications)

  • Have experience working with scientific and/or large datasets.

  • Are proficient in R or Python.

  • Have an undergraduate graduation date before the start of the internship period (summer 2020).

  • Can commit to a 6-month, full-time position.

  • Have a background in bioinformatics, mathematics, electrical engineering, or another quantitative discipline.

  • Have prior experience in data science, algorithms, remote sensing, signal processing and statistics.

  • Experience with analyzing time series data in measuring biological processes such as accelerometers, force plates, and heart rate monitors is preferred.

  • Proficiency in a Unix/Linux environment is preferred.

About Sage Bionetworks

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but its not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sages gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

Sage embraces diversity, equity and inclusion. We offer a comprehensive benefits package, including relocation benefits, to bring the right talent to the team. We are based in Seattle, WA, and collaborate broadly throughout the world.

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Mobile Health Analytics Intern

Sage Bionetworks