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 Sage’s 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 you’ll be doing:
- 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
We’d love to hear from you if you:
- 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.