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September 14, 2009
Programmer Analyst - Division of Health Policy
Location: New Haven, Connecticut, US
Reference number: 7130BR
Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut. Conveniently located between Boston and New York, New Haven is the creative capital of Connecticut with cultural resources that include three major museums, a critically-acclaimed repertory theater, state-of-the-art concert hall, and world-renowned schools of Architecture, Art, Drama, Medicine, and Music.
General Purpose:
Provide STATA/SAS/EXCEL programming and data analysis assistance to study on economic evaluation of drug abuse treatment and HIV prevention services for pregnant women, as well as other studies, in the Division of Health Policy at the Yale School of Public Health.
Position Description:
- Under the direction of the Principal Investigator and Project Director/Coordinator, write and run SAS, STATA and EXCEL programs to analyze data, error check data and meet user requests for subset STATA/SAS/EXCEL/ACCESS datasets.
- Create, maintain, edit, update and document STATA/SAS/EXCEL/ACCESS databases for several ongoing studies. Coordinate all data management in conjunction with other study personnel and act as point person for ensuring quality and integrity of data. Manage the integrity of research databases, all data input and any issues that arise. Ensure data quality control and oversee data analysis with direction of PI and Project Director/Coordinator.
- Write, test and debug STATA/SAS/EXCEL programs to create large STATA/SAS/EXCEL/ACCESS databases resulting from studies. Conduct statistical analyses upon request.
- Prepare suitable summary tables, reports and presentations. Participate in providing analyses and information for publication.
- Interact with internal contacts such as the Principal Investigator, Project Director/Coordinator, Research Assistants and other members of the research staff in order to provide input regarding the analysis of the data resulting from the economic evaluation study as well as other ongoing studies.
- Analyze and clarify user requirements, as well as time and budget constraints. Design and translate system requirements into project outline: SAS or STATA databases development, design and maintenance, including updating existing functions, creating new functionality and further expansion and development of existing applications.
- Develop and modify programs to accomplish project goals. Investigate different software and technical research tools in order to determine general strengths/weaknesses as they relate to research issues.
- Prepare project proposals and reports on their applicability to research and submit to PI for review and/or approval. Troubleshoot and develop refinements and improvements to programs. Test and debug programs to ensure quality of programming product.
- Develop codes for specific programs or portions of programs of simple to moderate size. Encode, test, troubleshoot and refine procedures for data analysis. Write quality control programs to check for errors in the data
- Run regressions and use sophisticated statistical procedures in packaged programs. Conduct all univariate, bivariate and multivariate data analysis based on prior knowledge and experience.
- Conduct online searches for literature and data; independently find, evaluate and summarize materials, information and data.
- Independently envision and create graphical displays of data in meaningful ways.
- Prepare data for analysis and analyze data. Prepare suitable summary tables, reports and presentations; participate in providing analyses and information for publication.
- Develop and maintain effective security and backup systems for affiliated computers and projects. Oversee data storage.
- Perform other duties as deemed necessary and appropriate by the PI.
Qualifications:
- Bachelor’s Degree in a relevant area (such as Statistics, Computing or Mathematics) and three years of programming experience, or an equivalent combination of education and experience.
- Experience with databases and reporting techniques.
- Preferred: Master’s Degree (MPH or MS) in Statistics or Biostatistics and Econometrics; experience with large secondary datasets.
Application:
For more information and immediate consideration, please apply online at http://www.Yale.edu/jobs - the STARS req ID for this position is 7130BR. Please be sure to reference source code IIHEA when applying for this position.
We invite you to discover the excitement, diversity, rewards and excellence of a career at Yale University. One of the country’s great workplaces, Yale University offers exciting opportunities for meaningful accomplishment and true growth. Our benefits package is among the best anywhere, with a wide variety of insurance choices, liberal paid time off, fantastic family and educational benefits, a variety of retirement benefits, extensive recreational facilities, and much more.
Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, staff, and students and strongly encourages applications from women and members of underrepresented minority groups.
