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

Atlanta, GAHybridFull Time$60,000–$65,000 /yrPosted 3 days agoVisa sponsorship available

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Required skills

  • SAS
  • data quality
  • accuracy
  • completeness
  • descriptive analyses
  • frequency tables
  • data quality review
  • surveillance products
  • HIV prevention
  • care planning

Nice to have

  • Master’s degree
  • surveillance data
  • HIV data
  • public health surveillance systems
  • large datasets
  • meticulous documentation

Role summary

DLH is seeking a Public Health Data Analyst in Atlanta, GA, to support the CDC's National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention. This hybrid role involves providing analytic and statistical support using R and SAS for national HIV surveillance data. Responsibilities include descriptive analyses, data quality review, statistical modeling, regression, trend analyses, and dissemination of surveillance products to aid public health planning and decision-making. A Bachelor's degree in a related field and 2 years of experience with R and SAS scripts are required. Experience with large datasets and public health surveillance systems is preferred.

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. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

DLH Corp. is looking for a Public Health Data Analyst using R and SAS to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). This is a hybrid work environment based out of Atlanta, GA. Teleworking most days, with visits to the CDC campus for in-person meetings and ad hoc office visits.

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 an Atlanta-based Data Analyst with the following skills:

Responsibilities

  • Provide analytic support (R and SAS) for established analyses of National HIV surveillance data, including descriptive analyses, frequency tables, data quality review, and production and dissemination of standardized surveillance products to support HIV prevention and care planning, program monitoring, resource allocation, and public health decision-making.
  • Provide statistical support (R and SAS) 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, to support scientifically rigorous national HIV surveillance products used for public health planning, resource allocation, and decision-making.

    • Qualifications

  • Bachelor’s degree in public health, statistics, or related field.
  • 2 years of strong demonstrated experience working with existing and developing new R and SAS scripts.
  • Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness.
  • Strong critical thinking and communication skills.
  • Eagerness to learn and apply skills to challenging projects.
  • Clear communication (written and verbal).

  • Must be able to obtain a Public Trust clearance

    • Preferred Qualifications

  • Master’s degree in public health, statistics, or related field.
  • Experience working with surveillance data.
  • Knowledge of HIV data and public health surveillance systems.
  • 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.

    • Basic Compensation: $60,000 - $65,000 yearly salary

    The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

    Benefits

    DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, disability coverage, flexible spending accounts, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

    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

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