Public Health Qualitative/Quantitative Data Analyst
Our public health group is growing and we’re currently seeking a Public Health Qualitative/Quantitative Data Analyst to work in Atlanta, GA, sitting onsite with CDC.
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 programmatic and data-driven 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.
Job Description and Key Responsibilities:
The Public Health Qualitative/Quantitative Data Analyst, primary using SAS and NVivo, will work primary data, secondary data, demonstration project data. A few responsibilities, but not limited to, are included below:
- Design and implement qualitative and quantitative study database.
- Coordinate data uploads.
- Check data files for completeness; run data quality assurance programs and coordinate with site data managers to reconcile problems.
- Write SAS code for cleaning datasets generated by studies.
- Create qualitative analysis plans.
- Coordinate and assist study sites in improving the uniformity of data collection.
- Evaluate data errors and work to resolve data problems.
- Provide data summary reports for each study on a weekly/quarterly basis as requested.
- Maintain detailed step-by-step description of each analysis.
- Travel to study site to resolve data cleaning/data quality issues and provide training regarding good data management practice.
- BS/BA degree in Public Health or related field.
- 1 year of dedicated SAS programming experience, including managing, merging, and analyzing SAS data sets.
- 1 year of dedicated qualitative data analysis.
- Master’s degree in Public Health or related field.
- Knowledge of public health promotion programs (knowledge/experience with HIV prevention research/programs desirable).
- Knowledge of behavioral and social science research methods.
- Experience in team-based qualitative research.
- Ability to integrate qualitative and quantitative data where appropriate.
- Experience assisting with research papers or presentations.
- Excellent time management and organizational skills and ability to meet short work deadlines.
- Detail-oriented and able to create meticulous documentation.
- Excellent oral and written communication skills: experience with written and oral presentation of data, ability to interact professionally with senior research staff and CDC.
- Ability to work independently and within a group to develop and troubleshoot data programs.
- Commitment to generating accurate data and products.
- Ability to conceptualize and work within the big picture as well as the minute details
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