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Public Health Analyst – Stats
Our public health group is growing and we’re currently seeking a Public Health Analyst – Stats primarily using SAS to work with the CDC in Atlanta, GA.
This position is temporarily based from home due to the COVID-19 pandemic. We will continue to make decisions pertaining to office access based on public health directives and guidance, practicality, and overall business requirements.
The Division of HIV/AIDS Prevention−Surveillance and Epidemiology (DHAP−SE) provides national leadership for HIV prevention research and surveillance and the development and testing of effective biomedical interventions to reduce HIV transmission and HIV disease progression in the United States and internationally. The purpose of these activities is to guide the development, implementation, and evaluation of evidence-based HIV prevention programs serving persons affected by, or at risk for, HIV infection. Branches of DHAP-SE include:
- The Epidemiology Branch designs and conducts epidemiologic, behavioral, and biomedical intervention studies in the United States and internationally to determine risk factors and modes of transmission of HIV infection and to reduce HIV infection and disease progression.
- The HIV Incidence and Case Surveillance Branch conducts a national program of surveillance and research to monitor and characterize the HIV/AIDS epidemic, and its determinants and impact, to guide public health action at federal, state, and local levels. This program includes surveillance of HIV infection and AIDS in collaboration with state and local health departments to provide population-based data for research, evaluation, and prevention at the national, state, and local levels.
- The Behavioral and Clinical Surveillance Branch implements scientifically rigorous HIV research studies and surveillance systems that meet critical local, state, and national HIV prevention needs for characterizing persons who are at risk for HIV infection or who have recently acquired HIV or have HIV-related morbidities. The branch also develops and demonstrates best practices of laboratory and prevention technologies to efficiently move them from development into public health practice.
The Statistician, primarily using SAS, will manage and analyze quantitative surveillance data and provide output in the format requested. Some specific responsibilities include:
- Complete data analyses and produce complicated descriptive statistics tables to support monitoring the number & characteristics of persons who have been diagnosed with HIV.
- Complete statistical analyses to support monitoring HIV morbidity and mortality by demographic, geographic, and risk/behavior characteristics.
- Provide standardized case definitions, data collection forms, reporting software, and technical assistance to cooperative agreement recipients and training in the form of written materials, guidelines for program performance, field visits, and meetings and workshops.
- Assist cooperative agreement recipients to improve data completeness, evaluate data, and complete data analysis and dissemination of surveillance data.
- Conduct ancillary surveillance data analyses including in persons infected with HIV without risk information or with potential unusual exposures, variant strains, and occupational exposures, and assess laboratory data reporting completeness.
- Bachelor’s degree in public health, statistics, or related field.
- 2 years of demonstrated advanced experience SAS programming.
- 2 years of demonstrated experience in generating SAS-based reports using a variety of methods (e.g., Macros, PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML.
- Expertise in large database manipulation, transfer, and storage.
- Master’s degree in public health, statistics, or related field.
- Knowledge of HIV and/or experience preferred.
- Experience with large surveillance dataset preferred.
- Experience with complex databases including administrative dataset preferred.
- Familiarity and/or experience in use of R (R Markdown, Knitr) and Power BI software is a plus.
- Detail oriented and able to create meticulous documentation of variables, datasets and data attributes
- Ability to produce data dictionaries and codebooks
- Willingness to share code and work within a team to achieve desired outcomes
- Strong organizational and interpersonal skills with the ability work as a member of a diverse team.
Working at ICF
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Georgia Client Office (GA88)