DLH Corp is looking to solve the complex problems faced by the Centers for Disease Control and Prevention (CDC) in Atlanta, GA, specifically in the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic.
Requirements
- Strong, demonstrated R experience.
- Demonstrated experience creating and managing dashboards using Power BI.
- Familiarity with SAS (SAS MACROS, PROC SQL, FORMATS, etc.) in order to convert SAS code to R.
- Experience working with R and Power BI (some SAS experience).
- Knowledge of HIV, molecular data, and public health surveillance systems. (preferred)
- Experience with large (>500,000 observations), document-based datasets. (preferred)
- Experience generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML. (preferred)
Responsibilities
- Conduct geospatial and molecular HIV analysis and interpret results using R.
- Work collaboratively with other analysts to develop novel code in support of analyses.
- Support the dissemination and reporting of data to internal and external partners.
- Review data error logs to ensure that requested data modifications are done according to the protocol.
- Review the data files to document problems and proposed corrections needed to be made to finalize the data set.
- Document problems with the R program and any proposed corrections needed to finalize the data.
- Merge data from different sources into spreadsheets; conduct necessary steps to ensure the quality of the resulting merge.
Other
- Must be able to obtain a NAC Clearance
- Bachelor’s degree in public health, statistics, or related field.
- 2 years of experience working with R and Power BI (some SAS experience).
- Detail-oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products. (preferred)
- Strong organizational and interpersonal skills. (preferred)
