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Virginia Tech

Location: BlacksburgVA 24061 Document ID: A9405-4AUN Posted on: 2018-07-1907/19/2018 Job Type: Full-time

Job Schedule:Full-time

Postdoctoral Associate Population Health Biostatistics

Virginia Tech, founded in 1872 as a land-grant institution, is currently ranked as a Top 25 Public University by US News & World Report and a Top 25 Public Research University by the National Science Foundation. Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto: Ut Prosim (That I May Serve). As the Commonwealth's most comprehensive university and its leading research institution, Virginia Tech serves a diverse population of 30,000+ students and 8000+ faculty and staff from over 100 countries, and is engaged in research around the world. Invent the Future at Virginia Tech.

Position Summary:
We are looking for a highly motivated postdoctoral fellow with strong statistical skills to join our team. The fellow will play a central role in our ongoing project examining health outcomes related to heat exposure in urban and rural communities in Alabama. The fellow will take a leadership role in development of data analysis methods for working with diverse sets of data (e.g. health records, geographic and meteorological datasets, and transcriptomics), with an aim for elucidating health effects related to climate change and different land use patterns. The fellow will be in a highly collaborative and multidisciplinary environment, with opportunities for collaborative work with researchers at Johns Hopkins University Dept. of Earth and Planetary Sciences, Virginia Bioinformatics Institute, Virginia Tech Department of Statistics, and other relevant Centers and Departments across the Virginia Tech campus.

Required Qualifications:
PhD in biostatistics, statistics, applied or biomathematics, bioinformatics, engineering or related field.
Candidates should have strong programming skills (R, SAS , or Matlab) and excellent communication and collaborative research skills.

Preferred Qualifications:
Priority will be given to candidates who have demonstrated analysis experience in spatial epidemiology.

To apply please click here!


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