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ICF

Research Scientist

ICF

Research Scientist in Public Health Solutions Portfolio performing data management and statistical analyses. Collaborating on data collection procedures and contributing to reports and proposals.

Posted 7/28/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $61,232 - $104,094 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data management and statistical analysis, with a strong focus on data cleaning, validation, and advanced statistical techniques using SAS and R. Proven ability to develop data management plans and execute complex analyses to support research and reporting.

Highest-signal resume keywords
Statistical AnalysisData ManagementSAS ProficiencyR ProficiencyQuantitative Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data CleaningData ProcessingData ValidationStatistical AnalysisData Collection ProceduresData Analysis PlansQuantitative Data ManagementAdvanced Statistical TechniquesReport PreparationQuality Assurance
Certifications & Qualifications
Master’s Degree in Public HealthMaster’s Degree in PsychologyMaster’s Degree in StatisticsMaster’s Degree in BiostatisticsMaster’s Degree in Epidemiology

About the role

Key responsibilities & impact
  • Perform routine data management tasks (data cleaning, data processing, merging data files).
  • Perform data validations/quality assurance, potentially including conversations with survey respondents to ensure data are correct.
  • Perform complex and advanced statistical analyses. Prepare reports, manuscripts, briefing materials, etc.
  • Contribute to the development of data management and data analyses plans; procedures for data collection.

Requirements

What you’ll need
  • Master’s in a relevant field (e.g., public health, psychology, statistics, biostatistics, epidemiology).
  • Minimum of three years of experience involving management and analysis of quantitative data.
  • Demonstrated ability to formulate and execute technical approaches to data management or analyses processes.
  • Proficiency in statistical analysis, particularly in SAS and R.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development