Senior Scientific Data Analyst (Hybrid) – Military Health

Kids for the Future; Silver Spring (MD); Hybrid; USD 90,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

STD & LTD

Basic Life Insurance

401k Company Match

Voluntary products

Job summary

Knowesis is seeking a SME IV – Scientific Data Analyst to support PHCoE's research and surveillance missions. This role conducts queries of large military health datasets to enable evidence-based decisions and develops data conventions for multi-source data.

The ideal candidate holds a Master’s degree with 13+ years of experience in healthcare data analysis and advanced SAS/SQL/R skills, plus a background in data visualization and dashboards.

Qualifications

• Master's Degree is required.
• At least 13 years of full-time experience analyzing large administrative healthcare data.
• At least 3 years of full-time experience with the MIP or predecessor systems.

Responsibilities

• Independently conduct queries of large military health administrative data to create analyzable datasets.
• Develop and maintain conventions for naming, labeling, and storing data tables.
• Use SQL to generate analytic data files and transform variables per project requirements.
• Interact with enterprise medical databases to conduct epidemiological, clinical surveillance, and medical intelligence investigations.
• Produce technical artifacts (reports, tools, briefings, presentations, manuscripts) for PHCoE.

Skills

SAS

SQL

R

Data visualization

Dashboards

Education

Master's Degree

Doctorate

Tools

MHS Information Platform (MIP)

Job description

Knowesis is seeking a SME IV – Scientific Data Analyst to support PHCoE's research and surveillance missions. This role conducts queries of large military health datasets to enable evidence-based decisions and develops data conventions for multi-source data.

The ideal candidate holds a Master’s degree with 13+ years of experience in healthcare data analysis and advanced SAS/SQL/R skills, plus a background in data visualization and dashboards.