Research Analyst (SAS and R) (Job 1368)

23 hours, 20 minutes ago
Full-time
Junior
Data Science and Analytics
DLH

DLH

DLH addresses health and national security challenges by providing innovative solutions through digital transformation, research and development, and systems engineering, specifically tailored to enhance the readiness of federal programs.

Construction & Engineering
1K-5K
Founded 1969

Description

  • Develop SAS programs to validate surveillance, clinical, or research study data.
  • Verify that required variables are included in datasets and extraneous variables are excluded.
  • Identify data discrepancies and inconsistencies in resulting datasets.
  • Develop codebooks and data management plans.
  • Run duplicate checks and compare results to validate final datasets, indicators, coding, metadata, SAS programs, and output files.
  • Conduct geospatial and molecular HIV analyses and interpret results using R.
  • Collaborate with other analysts to develop new code for analyses.
  • Support dissemination and reporting of data to internal and external partners.
  • Work with federal partners to support funded jurisdictions and funded community-based organizations.

Requirements

  • Bachelor’s degree in public health, statistics, or a related field.
  • 2 years of experience working with R or SAS.
  • Strong, demonstrated experience with SAS.
  • Familiarity with R coding.
  • Demonstrated ability to work with multiple data sources and assess data quality, including accuracy and completeness.
  • Clear written and verbal communication skills.
  • Must be able to obtain a NAC clearance.
  • Experience with HIV surveillance or research data is preferred.
  • Prior experience with CDC, HHS, or another federal or state health agency is preferred.
  • Master’s degree in public health, statistics, or a related field is preferred.
  • Experience creating and managing dashboards using Power BI is preferred.
  • 2 years of experience generating SAS-based reports and exporting them to Excel, PDF, and HTML is preferred.
  • Knowledge of HIV, molecular data, and public health surveillance systems is preferred.
  • Experience with large document-based datasets of more than 500,000 observations is preferred.
  • Proficiency with SAS or R coding tools and methods such as SAS Macros, PROC SQL, and formats/informats is preferred.
  • Experience with behavioral or clinical surveillance data and/or primary or secondary research data is preferred.

Benefits

  • Basic compensation of $50,000 to $70,000 per year.
  • Additional compensation may include performance incentives and program-specific awards.
  • 100% remote work with occasional in-person meetings, trainings, or team events as needed.
  • Personal Time Off (PTO).
  • Medical, dental, and vision insurance.
  • Supplemental life insurance with AD&D, short-term disability, and long-term disability coverage.
  • Flexible spending accounts and parental leave.
  • 401(k) retirement plan with matching contributions.
  • Training, e-learning access, professional and technical certification preparation, and education assistance.

Interested in this position?

Apply directly on the company website

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