Data Analyst I — Hybrid (SAS & Pediatric Research)

The Henry M. Jackson Foundation for the Advancement of Military Medicine; Bethesda (MD); Hybrid; USD 53,000 - 70,000; Full time

Job summary

The Henry M. Jackson Foundation for the Advancement of Military Medicine seeks a Data Analyst I to provide analytic support to pediatric research teams using SAS. You will perform data extraction, cleaning, structuring and analysis on military healthcare data and support data requests for investigators.

Hybrid role based in Bethesda, MD, with supervision from epidemiologists and data analysts. Bachelor’s degree required; 0–2 years experience preferred; opportunities to develop in regression

Qualifications

• Bachelor's degree required.
• 0–2 years of experience preferred.
• Strong SAS skills required.
• Experience with data extraction, cleaning and analysis.
• Familiarity with regression models (logistic, linear, Poisson) is a plus.

Responsibilities

• Writes SAS programs for data extraction, cleaning, structuring, validation and analysis to support investigators.
• Improves data processing methods and data flow; validates data integrity.
• Assists in preparing results for presentations and publications; documents methods and outcomes.
• Maintains knowledge of military health system data systems to advise researchers on suitable data sources.
• Ensures regulatory compliance for data security and human subjects’ data handling.

Skills

SAS

Data cleaning

Data analysis

Data quality

Data visualization

Regression modeling

Education

Bachelor's Degree

Tools

R

Python

ArcGIS

Job description

The Henry M. Jackson Foundation for the Advancement of Military Medicine seeks a Data Analyst I to provide analytic support to pediatric research teams using SAS. You will perform data extraction, cleaning, structuring and analysis on military healthcare data and support data requests for investigators.

Hybrid role based in Bethesda, MD, with supervision from epidemiologists and data analysts. Bachelor’s degree required; 0–2 years experience preferred; opportunities to develop in regression