Data Analyst

The Geneva Foundation•Silver Spring, MD

About The Position

The Data Analyst assists with clinical data management and supports coordination of multi-site study protocols. Work includes data extraction and statistical analysis, data cleaning and quality control, data transfers and file merging, data queries, ad-hoc reporting, and agreement execution. The role works across organizations to ensure data quality, provide real-time data to investigators and staff, and document standard operating procedures. The position supports the Walter Reed Army Institute of Research (WRAIR) Medical Readiness Systems Biology Division in a multi-task research program developing objective, integrated tools to assess physiological and psychological readiness in Service Members. The analyst supports data processing, management, quality assurance, and analysis across research tasks involving biomarker discovery, wearable and handheld biosensors, gamified fatigue assessment, and resilience training evaluation. In collaboration with The Geneva Foundation’s scientific and technical teams, the Data Analyst helps maintain accurate, reliable, and well-organized research data to support study execution, evaluate outcomes, and advance evidence-based tools for assessing military readiness. The role oversees quality assurance of study databases, tests data proactively to identify data integrity issues, makes recommendations, and plans solutions based on research goals. The stated salary range is $55,000–$75,000; salary determinations consider external market data, internal equity, and the candidate’s related knowledge, skills, and abilities.

Requirements

Bachelor’s degree required.
Expertise in writing and executing code in Python and/or MATLAB required.
Competence in oral and written communication.
Organized and attentive to detail.
Positive, friendly, and professional demeanor.

Nice To Haves

Master’s degree preferred.
Knowledge of the military system preferred.

Responsibilities

Prepare animal and human use protocols.
Assist with grant proposal submissions.
Write scripts and perform matrix analysis using R, SQL, and/or Python.
Prepare analysis plans and 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 analyses of multiple complex data sets from diverse scientific areas.
Collaborate with and assist the Principal Investigator, Co-Investigators, and research team in performing the research study.
Contribute to drafting and submitting abstracts, manuscripts, and reports for dissemination.
Interpret analyses and write statistical sections of study reports and scientific manuscripts.
Prepare research progress reports as required.
Analyze and write up data.
Present complex information effectively to a range of audiences.
Provide data management assistance.
Provide project close-out support.
Maintain and update files of applicable regulatory documentation for IACUC or IRB, including protocols, approvals, amendments, and modifications, and communications with the sponsor or other Federal or regulatory offices, including prior approvals and changes in scope.
Oversee quality assurance of study databases, proactively test data to identify data integrity issues, make recommendations, and plan solutions based on research goals.
Support clinical data management and multi-site study coordination through data extraction and statistical analysis, data cleaning and quality control, data transfers and file merging, data queries, ad-hoc reports, and agreement execution.
Work cross-organizationally to ensure data quality, report real-time data for investigators and staff, and document standard operating procedures.
Support data processing, management, quality assurance, and analysis across research tasks involving biomarker discovery, biosensors, fatigue assessment, and resilience training evaluation.