The Department of Biostatistics at Columbia University is seeking a Data Analyst to provide analytical and technical support for several health research projects focusing on the health impacts of environmental factors and extreme weather, specifically investigating the effects of ambient air pollution and extreme heat stress on various health outcomes.
Requirements
- Coding skills and proficiency with statistical programming tools (R preferred, but Matlab, Stata and/or Python are viable too)
- Experience working with GitHub or other version control systems
- Experience with data management and the creation of data archives
- Data exploration and visualization skills
- Familiarity with environmental raster data (e.g., gridded pollution and climate data)
- Experience with machine learning (e.g., gradient boost models for imputing missing air pollution sensor data)
Responsibilities
- providing data science support to international partners with primary data collected locally and regional energy use datasets
- managing high frequency sensor-based and questionnaire-based data sets on pollution concentrations and exposure
- transforming sensor data and raster data into usable air pollution exposure statistics
- exploring research questions using study data and other public use and bespoke datasets
- developing impactful data visualizations of research findings for both scientific and general audiences
Other
- Bachelor's degree or equivalent in education and experience, plus three years of related experience
- Ability to synthesize and communicate scientific results to a variety of partners and stakeholders
- Excellent verbal and written communication skills
- Ability to take initiative, self-manage, and work independently as well as collaboratively as part of a multidisciplinary team
- Must live in the New York tri-state area
