Data Analyst (R and SAS) - Public Health Exp. Req. (Job 1520)

DLH•Atlanta, GA

1d•$60,000 - $65,000•Hybrid

About The Position

DLH Corp. is seeking an Atlanta-based Public Health Data Analyst with R and SAS experience to support the Centers for Disease Control and Prevention (CDC). The role supports the CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Division of HIV Prevention (DHP), in its mission to prevent HIV infection and reduce HIV-related illness and death. DLH’s contract supports DHP with data management, governance, analysis, and dissemination to strengthen the nationwide capacity to monitor the HIV epidemic. The position provides analytic and statistical support for National HIV surveillance data, including established analyses and complex analyses. Work supports HIV prevention and care planning, program monitoring, resource allocation, and public health decision-making. The role is hybrid, based in Atlanta, Georgia, with teleworking most days and visits to the CDC campus for in-person meetings and occasional office visits. The position requires the ability to obtain a Public Trust clearance.

Requirements

Bachelor’s degree in public health, statistics, or a related field.
At least 2 years of demonstrated experience working with existing and developing new R and SAS scripts.
Ability to work with multiple data sources to monitor and assess data quality, including accuracy and completeness.
Strong critical thinking and communication skills.
Eagerness to learn and apply skills to challenging projects.
Clear written and verbal communication.
Must be able to obtain a Public Trust clearance.

Nice To Haves

Master’s degree in public health, statistics, or a related field.
Experience working with surveillance data.
Knowledge of HIV data and public health surveillance systems.
Experience with large datasets (more than 500,000 observations), including document-based datasets.
Detail-oriented approach and ability to create meticulous documentation of variables, datasets, and data attributes, with a commitment to accurate data and products.
Strong organizational and interpersonal skills.

Responsibilities

Provide R and SAS analytic support for established analyses of National HIV surveillance data, including descriptive analyses, frequency tables, data quality review, and production and dissemination of standardized surveillance products.
Provide R and SAS statistical support for complex analyses of National HIV surveillance data, including incidence and lifetime risk estimation, statistical modeling, regression and trend analyses, and surveillance variable development and validation.
Support HIV prevention and care planning, program monitoring, resource allocation, and public health decision-making through surveillance analyses and products.