Data Analyst II: SAS for Pediatric Health Research

The Henry M. Jackson Foundation for the Advancement of Military Medicine; Bethesda (MD); Hybrid; USD 68,000 - 78,000; Full time

Benefits offered by this job

Health benefits

Retirement plans

Job summary

The Henry M. Jackson Foundation for the Advancement of Military Medicine in Bethesda, MD seeks a Data Analyst II to provide analytic support to epidemiologists, biostatisticians and scientists, ensuring data quality and integrity across pediatric research projects.

The role involves data extraction, management, cleaning, and analysis using SAS, with collaboration among investigators and team members to advance military medicine research.

Qualifications

• Bachelor's degree required; Master's preferred.
• 3-5 years of experience in data analysis or similar role.
• Strong SAS skills and ability to handle pediatric research data.
• Experience with data cleansing, validation and migration techniques.
• Ability to obtain a T1 Public Trust background check.

Responsibilities

• Writes SAS programs for data extraction, cleaning, structuring, validation, and analysis.
• Ensure data quality and integrity; troubleshoot data issues.
• Collaborate with investigators and epidemiologists to meet research needs.
• Document methods and results for reports and publications.
• Assist in drafting research grants, protocols, and data-sharing documentation.
• Maintain knowledge of military health system data sources and resources.

Skills

SAS programming

Statistical modeling

Data cleaning

Data quality assurance

Regulatory compliance understanding

Education

Bachelor's Degree

Master’s Degree preferred

Tools

R

Python

ArcGIS

Job description

The Henry M. Jackson Foundation for the Advancement of Military Medicine in Bethesda, MD seeks a Data Analyst II to provide analytic support to epidemiologists, biostatisticians and scientists, ensuring data quality and integrity across pediatric research projects.

The role involves data extraction, management, cleaning, and analysis using SAS, with collaboration among investigators and team members to advance military medicine research.