Type of Position
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Receives data requests from faculty and students, researches data archives, and determines which data fulfills the criteria of the requestor. Integrates data from archives with researchers collected data for compatibility and applicability. Depending on the needs of the requestor, extrapolates or assists with the extrapolation of archive data and research data. Writes or assists in writing text for scholarly documents including published works. Instructs researchers and members of research teams in archival techniques. Cleans, formats, and documents research data for entry into data archive. Consults with researchers on methodologies for data collection and retention as well as their associated costs as they pertain to the design of future research projects. May oversee the work of research staff members.
About the Unit
The Department of Health Studies is a multidisciplinary department that includes the fields of biostatistics, epidemiology and health services research. Our research aims to understand and improve public health and health care from a population perspective and draws on methods from the disciplines of statistics, epidemiology, economics, psychology, sociology, and demography.
Unit Job Summary
Data Programmer/Analyst: Organize and manipulate research data, prepare datasets for analysis and distribution, and perform basic exploratory (including graphical) and statistical analysis.
Clean, combine and organize research data from a variety of sources, including secondary data from registries, repositories and government sources, and primary data collected from interviews, clinical trials and biological experiments.
Work with investigators to design and create analytic datasets for examining specific research questions.
Prepare documentation for dataset users.
Perform data analyses including both exploratory (e.g., tabular and graphical) and statistical (e.g., fit regression and other models) methods; prepare written reports describing findings.
Work with investigators to develop and implement complex data manipulations such as matching routines, routines for checking data completeness, accuracy and consistency, and routines for extracting subsets and summaries from large, complicated datasets.
The above statements are intended to describe the general nature and level of the work being performed by people assigned to this job. They are not an exhaustive list of all duties and responsibilities associated with it.
Bachelor's Degree in a quantitative scientific field (including quantitative physical, biological or social sciences, computer science, statistics or mathematics) is required.
A minimum of two years' experience working with research data in an academic or research environment, together with corresponding references required.
Formal background or practical experience in at least one commonly-used programming language (e.g., C/C++/C#, Python, Java, etc.) and one RDBMS preferred.
Significant experience with multiple statistical or data analytic packages, including Stata, R, SAS, Mathematica, MATLAB, etc. preferred.
Experience and/or interest in working with large datasets (e.g., genetics data, Census data, etc.), in particular claims data such as Marketscan or Medicare claims or the linked SEER-Medicare data preferred.
Ability to demonstrate a solid, working knowledge of either Stata or SAS required.
Willing to work in a multi-platform environment (OS X, Linux and Windows), and to learn new programming languages and tools (e.g., distributed version control) required.
Knowledge of statistics required.
Knowledge of database management software required.
Analytical skills required.
Computational skills required.
Problem-solving skills required.
Attention to detail required.
Organizational skills required.
Excellent verbal and written communication skills required.
Ability to work independently and as part of a team required.
Knowledge of statistical software packages preferred.
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Campus - Hyde Park
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