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Postdoctoral Data Scientist: GIS and mHealth
The Department of Biostatistics at the Harvard T.H Chan School of Public Health invites applications for a Postdoctoral Data Scientist position to work on large scale environmental health and mobile health geospatial data. The position will involve close scientific collaboration with Drs. Peter James, Antonella Zanobetti, and Corwin Zigler. There will also be ample opportunities to interact with the Harvard Center for Geographic Analysis (http://www.gis.harvard.edu/).
The successful candidate will be responsible for coordinating geospatial analyses for very large scale heterogeneous data such as: geocoded nationwide prospective cohort studies, atmospheric chemistry model outputs, and temporally-dense measurements from smartphone applications and wearable devices. The successful candidate will also interact with about 15 PhD students and postdoctoral fellows.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Duties and Responsibilities:
-The Data Scientist will contribute to the effort of:
Benchmarking and identifying the best stack to handle and analyze massive amount of geospatial data, some containing protected health information.
Processing massive amounts of geospatial data such as millions of atmospheric transport trajectories or mobile health measurements (GPS, physical activity, heart rate, sleep, etc. from smartphones and wearable devices) for tens of thousands of study participants.
Developing and disseminating software for reproducible research.
Creating innovative web-based data visualizations.
Training other team members in advanced GIS tools and techniques.
Writing scientific articles and research proposals.
READ MORE: Details and application instructions