Data Analyst

The Geneva Foundation•Silver Spring, MD
•$55,000 - $75,000

About The Position

The Data Analyst assists with clinical data management and supports the coordination of multi-site study protocols through data extraction and statistical analysis, data cleaning and quality control, data transfers and file merging, data queries, ad-hoc reporting, and agreement execution. The position works across organizations to ensure data quality, report real-time data to investigators and staff, and document standard operating procedures. The role 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 four research tasks: 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 analyst helps ensure research data are accurate, reliable, and well organized to support study execution, evaluate outcomes, and advance evidence-based tools for assessing military readiness. The position oversees quality assurance of study databases, proactively tests data to identify integrity issues, makes recommendations, and plans solutions based on research goals. The salary range is $55,000–$75,000; salaries are determined by factors including 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.
  • Demonstrated competence in oral and written communication.
  • Must be organized and attentive to detail.
  • Must possess a positive, friendly, and professional demeanor.

Nice To Haves

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

Responsibilities

  • 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 conducting 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 progress reports on research 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 applicable regulatory documentation files for IACUC or IRB, including protocols, approvals, amendments, and modifications, as well as 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 for integrity issues, make recommendations, and plan solutions based on research goals.
  • Support data extraction and statistical analysis, data cleaning and quality control, data transfers and file merging, data queries, ad-hoc reports, and agreement execution.
  • Support data processing, management, quality assurance, and analysis across research tasks.
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