Data Analyst - Rollins School of Public Health

Emory•Atlanta, GA

3d•Hybrid

About The Position

The research team of Dr. Aaron Siegler in the Epidemiology Department at Emory University is seeking to hire a Data Analyst to work on several NIH-funded studies in HIV prevention epidemiology and digital health intervention research across local and/or international settings. These studies include: 1. Establishing a PrEP Epidemiology, Modeling and Surveillance System (PREMISE), a study to support the development of consistent national HIV Pre-ExposureProphylaxis (PrEP) data to describe its patterns of use, and to understand which programs and policies are effective at facilitating PrEP uptake in the US. 2. Improving telePrEP initiation and retention outcomes in the US: The MISTR+ study, an NIH-funded series of clinical trials to support the development of low-touchinterventions (such as tailored messaging) and testing their effectiveness on PrEP initiation and retention outcomes. 3. The Elección (Choice) Cohort: Developing and testing a scalable, platform-agnostic digital intervention in Peru, an NIH-funded clinical trial to improve understanding of the factors associated with HIV acquisition and PrEP uptake; and evaluate the preferences for and effectiveness of an adapted digital health messaging intervention (mHealth) among men in Peru. The Data Analyst will have the opportunity to work on multiple projects as described above, with specific work distribution depending on experience and interests. The Data Analyst may have the opportunity to contribute to other ongoing projects in Dr. Siegler’s research lab, co-author manuscripts, and present scientific work at national/international scientific conferences if interested. The position will be based at Emory University in Atlanta, Georgia. The initial appointment is for 2 years, and renewal is anticipated if performance is satisfactory and funds remain available.

Requirements

A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.

Nice To Haves

Master’s degree in Epidemiology, Biostatistics or other relevant quantitative field.
Experience with quantitative data analysis.
Experience using statistical software to derive quantitative research findings.
Excellent scientific writing ability
Experience in data management and analysis using SAS, R or other statistical software.
Experience in analysis of clinical trial and/or national claims data.
Experience in HIV prevention or digital health

Responsibilities

Creates and maintains a data dictionary and meta data.
Supports efforts to ensure that data standards are developed and maintained.
Ensures that the uses of data through reports and queries are accurate.
Supports business and system re-engineering and architecture development to define future data needs.
Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
Performs other related duties as required.
Work closely with the Principal Investigator in all aspects of the research
Develop data collection systems
Conduct data cleaning and codebook development
Monitor study data and provide biweekly updates to the study team on accumulating data
Prepare analysis datasets and documentation
Facilitate study analysis and assist faculty and post-docs in data analysis activities, including table and figure development for manuscripts
Contribute to quantitative research efforts in the field of HIV epidemiology and prevention
Apply statistical models and use statistical software to derive quantitative research findings
Work as part of a team to develop scientific data from various data sources
Contribute as co-author to manuscripts
Contribute to data visualization output to disseminate study findings