About the Position
The Data Analyst is responsible for assisting with clinical data management. This position will support the coordination of multi-site study protocols through data extraction and statistical analysis, data cleaning and quality control, data transfers and merging of files, data queries, ad-hoc reports, and agreement execution. This position works cross-organizationally to ensure data quality, report real-time data for investigators and staff, and document standard operating procedures.
About the Project
The Data Analyst will support the Walter Reed Army Institute of Research (WRAIR) Medical Readiness Systems Biology Division in a multi-task research program focused on developing objective, integrated tools to assess physiological and psychological readiness in Service Members. The analyst will support data processing, management, quality assurance, and analysis across four research tasks involving biomarker discovery, wearable and handheld biosensors, gamified fatigue assessment, and resilience training evaluation. Working with The Geneva Foundation’s scientific and technical teams, the Data Analyst will help ensure accurate, reliable, and well-organized research data to support study execution, evaluate outcomes, and advance the development of evidence-based tools for assessing military readiness.
Salary Range
$55,000 - $75,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate’s related knowledge, skills, and abilities for the position.
QUALIFICATIONS
- Prepare animal and human use protocols
- Assist in grant proposal submissions
- Bachelor’s degree required; Master’s preferred
- Knowledge of military system, preferred.
- Expertise in writing and executing code in Python and/or MATLAB required
- Demonstrate competence in oral and written communication
- Must be organized, attentive to detail, and possess a positive, friendly and professional demeanor
MANAGEMENT RESPONSIBILITIES
- Oversees quality assurance of all study databases, proactively tests data to identify data integrity issues, makes recommendations, and plans solutions based on research goals
RESPONSIBILITIES
- Write scripts and perform matrix analysis using R, SQL, and/or Python
- Prepare analysis plans and write detailed specifications for analysis files, consistency checks, tables and figures in conjunction with the on-site supervisor
- Complete statistical analysis of independent data groups using appropriate scientific methods
- Provide input on analysis plans and design for the analyses of multiple complex data sets from diverse scientific are