Application deadline: May 29, 2016
Start date: 6/16/2016 or as soon as possible
End date: 9/15/206 (possibility of extension into the following academic year)
The UW Institute for Health Metrics and Evaluation is seeking an RA for Infectious Disease Surveillance. This position will average 20 hours per week.
The RA position involves two separate but related projects. The first project is focused on the integration of novel data streams (e.g., Internet News sources, and social media data) with environmental and epidemiological data for infectious disease surveillance and forecasting. The objectives of the project are to develop an automated process for acquiring, processing and filtering data for modeling. Once we gather these data, we will develop temporal models for the dynamical assessment of the relationship between the various data variables and infectious disease incidence. Finally, we will assess these modeling approaches for forecasting the dynamics of select infectious diseases.
The second project is focused on integrating data from social media, blogs, local news sources, restaurant and food service review sites to augment traditional approaches to foodborne disease surveillance. An approximately 48 million people experience foodborne illness in the United States each year, however, only a small proportion of cases are captured by traditional surveillance systems. This is mainly due to a limited number of affected persons seeking medical care and reporting symptoms to appropriate authorities. We therefore aim to supplement existing surveillance systems by developing a validated system for monitoring reports of foodborne illness using event-based digital disease surveillance data sources, and characterize and estimate the extent of foodborne illness and disease outbreaks in the United States.
- Perform data analyses using statistical and machine-learning methods
- Visualize results for presentations and publications
- Aid in drafting manuscripts for journal publications
- Participate in other research activities as needed by the project
- Currently enrolled graduate student at the University of Washington during AY 15/16
- Experience with machine-learning and statistical methods for data analyses
- Interest in public health
- Ability to work independently
- Very strong analytic, creative, and writing skills
- Proficiency in natural language processing is a plus
- Proficiency in R or Python
For complete information about this opportunity, including application details, see HuskyJobs Position ID # 103088