About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

DLH Corp Company, is looking for a part-time Public Health Research Analyst, using SAS and R and Python, to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC) in Atlanta, GA.

Responsibilities

CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. As such, DLH is seeking a Research Analyst with the following skills:

• Developing analytic programs (using SAS, R, or Python code) to support the National Data Processing (NDP) of HIV surveillance data, including sensitivity analyses, dataset certification analyses, and ad hoc development of solutions for data-related
• Developing analytic programs (using SAS, R, or Python code) to support data quality checks of the HIV surveillance laboratory data.
• Providing technical assistance and support in creating data visualizations
• Providing technical assistance and support for HS data management
• Providing ongoing statistical and data support for reports, presentations, materials, and scientific
• Automating data management and analytical processes using dynamic variables with iteratively reusable coding and providing advanced SAS expertise, including proficient use of the following procedures: FREQ, REPORT, GLM, LOGISITIC, REQ, SQL, MEANS, TABULATE, SUMMARY, FORMAT, GPLOT, ODS, GRAPH, ACCESS, BASE, STAT, and
• Developing SAS programs using SAS ODS code to create outputs in specified file
• Documenting procedures used to accomplish all above-described support
  
  

Qualifications

• Bachelor’s degree in public health, statistics, or related field.
• 2 years of experience working with SAS.
• Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness.
• Atlanta-based.
• Strong SAS, R, and Python experience.
• Clear communication (written and verbal).
• Active NAC Security Clearance walking through the door
  
  

Preferred Qualifications

• Previous CDC experience.
• Previously badged by the CDC.
• Master’s degree in public health, statistics, or related field.
• 2 years of experience in 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.
• Experience with large (>500,000 observations), document-based datasets.
• Detail-oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products.
• Strong organizational and interpersonal skills.
  
  

EEO

DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply.

DLH is committed to maintaining a fair and authentic interview process