Senior Scientific Data Analyst, Health Surveillance

Kids for the Future; Silver Spring (MD); Hybrid; USD 90,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

STD & LTD

Basic Life Insurance

401k company match

Voluntary benefits

Job summary

Knowesis is seeking a Scientific Data Analyst SME III to provide statistical analysis and health surveillance support for the PHCoE. The role conducts analyses of large healthcare datasets, builds data visualizations, and prepares written findings to support medical intelligence activities.

The position requires a Master’s degree in Statistics or a related field and at least 8 years of experience, with preference for SQL/SAS/R skills and experience with health data systems.

Qualifications

• Master's degree in Statistics, Epidemiology, or related field.
• At least 8 years of experience analyzing large administrative healthcare datasets.

Responsibilities

• Conduct statistical analyses of large administrative healthcare datasets in support of the PHCoE research mission.
• Create data visualizations and other reporting vehicles to disseminate analytic findings.
• Interact with enterprise medical databases to conduct epidemiological, clinical surveillance, and medical intelligence investigations.
• Use administrative and clinical data to develop and operationalize outcome metrics to support high-quality mental health care delivery.
• Prepare written artifacts of statistical analyses, including methods, results, interpretations, and tables/figures.
• Produce technical artifacts (e.g., reports, tools, briefings, presentations, and manuscripts) consistent with the PHCoE mission set.

Skills

Statistical analysis

Data visualization

Epidemiology

Education

Master's degree in Statistics, Epidemiology, or related field

Tools

SQL

SAS

R

Job description

Knowesis is seeking a Scientific Data Analyst SME III to provide statistical analysis and health surveillance support for the PHCoE. The role conducts analyses of large healthcare datasets, builds data visualizations, and prepares written findings to support medical intelligence activities.

The position requires a Master’s degree in Statistics or a related field and at least 8 years of experience, with preference for SQL/SAS/R skills and experience with health data systems.