Data Programmer

Columbia University
United States, New York, New York
Feb 07, 2025
Job Type: Officer of Administration Regular/Temporary: Temporary End Date if Temporary: 7/31/2025 Hours Per Week: 35 Salary Range: $63,000 - $65,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Under the close supervision of the Senior Staff Associate II / Senior Information Scientist, the Data Programmer will perform coding and programming in Python and/or R on data and interactive applications. The programmer will also conduct data collection, processing, analysis, and results presentation and visualization for a number of CIESIN projects. The Programmer will assists compiling, assessing, and integrating socio-economic, environmental, and other geospatial data products, and assists in analyzing and mapping information to investigate regional and global development indicators, environmental change, and risks to human and ecosystems from natural hazards and climate change. The incumbent will assist with the statistical and geospatial analysis of complex and large datasets and other graphic and statistical products from these data. The Programmer will contribute to the creation of metadata, data documentation, project reports, and presentations based on team research. Responsibilities Coding, programming, testing, trouble shooting, debugging, using Python and/or R, Java/JavaScript on data and interactive applications, on network servers and a cloud-computing environment. Document workflows and develop guidelines and training materials. Data acquisition, processing, and integration in big data exploration activities, including QA/QC (quality assurance/quality control). Data visualization by creating maps, graphic products and summary statistics for inclusion in websites, reports, presentations, and outreach materials. Compiles literature review material in scientific literature and applications concerning data analysis and project-specific topics, such as IPCCs, as assigned. Present data and other work, e.g., in workshops, conferences, and/or journal articles. Minimum Qualifications BS degree in a science or engineering discipline with one (1) year of related work experience is a minimum. MS degree in computer science, data science, or engineering is preferred. A 2-year MS program with heavy programming/coding work or AI/ML work can count for up to 2 years of experience. Good knowledge and skills with Python and/or R for automating workflows for big data, e.g., coding, testing, troubleshooting/debugging, and QA/QC (quality assurance/quality control) on complex and large datasets. Java and JavaScript will be helpful. Knowledge of geographic information system (GIS) and software, e.g., ESRI ArcGIS Pro, and big data in various formats (e.g., GeoTiff, NetCDF, or RDS). Knowledge and skills in Remote Sensing data and software like ENVI will be a plus. Ability to work well in multidisciplinary teams. Foreign languages and international experience are also helpful. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.