The Department of Environmental Health Sciences at Columbia University is seeking a Data Analyst to provide analytical and technical support for several environmental health research projects, including investigating the effects of ambient air pollution on early life indicators of non-communicable disease risk and estimating greenhouse gas emissions from charcoal production.
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
- excellent quantitative and statistical skills
- fluency in Microsoft Office and Google tools
- experience with data visualization tools
Responsibilities
- providing data science support to international partners with primary data collected locally and regional energy use datasets
- managing high frequency sensor-based data sets on pollution concentrations and exposure
- 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
- collecting, processing, and analyzing survey data, and/or economic data
- working with statistical programming tools (R preferred, but Matlab, Stata and/or Python are viable too)
- experience working with GitHub or other version control systems
Other
- Bachelor's degree or equivalent in education and experience, plus three years of related experience
- ability to take initiative, self-manage, and work independently as well as collaboratively as part of a multidisciplinary team
- excellent verbal and written communication skills
- ability to synthesize and communicate scientific results to a variety of partners and stakeholders
- exceptional attention to detail and strong organizational and time management skills
