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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in research design, data analysis, and advanced quantitative techniques, with a strong ability to manage multiple large-scale projects and collaborate effectively with diverse teams. Proficient in statistical software and methodologies relevant to clinical research and public health.
Highest-signal resume keywords
Research Methodology DesignAdvanced Quantitative AnalysisProject ManagementStatistical Software ProficiencyEffective Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Research DesignData AnalysisStatistical TechniquesEffect Size EstimationPower AnalysisData ManagementQuantitative AnalysisSampling StrategiesField CodingMissing Data Management
Soft Skills
CollaborationTeamworkIndependent Decision-MakingEffective Communication
Tools & Technologies
SPSSSTATARSASREDCap
Certifications & Qualifications
MS/MA/MPH in BiostatisticsDPH or PhD (Preferred)Administrative/Claims Database Certification (PHIS Competency Preferred)
Industry Keywords
Clinical ResearchEpidemiologyPublic HealthHealth ServicesHealth Outcomes ResearchSocial Services
About the role
Key responsibilities & impact- Support investigator-led research projects by providing methodological expertise in research design and data analysis
- Design research methodology and sampling strategies
- Estimate effect sizes and statistical power
- Select and apply appropriate statistical and analytic techniques for clinical research, epidemiology/public health, health services, and health outcomes research
- Manage multiple simultaneous projects and large-scale, multilayered projects
- Write applied research proposals and protocols
- Write abstracts, manuscripts, and presentations
- Collaborate with users, investigators, and research team members at all levels
- Perform data collection, extraction, formatting, merging, field coding, and missing-data management
- Conduct advanced quantitative analyses, including LOGIT, Survival, GLS, Propensity Scoring, Bayesian analysis, and NLIN
- Use software for data analysis, database management, and survey administration
Requirements
What you’ll need- Five (5) years' experience designing research methodology, sampling strategies, estimating effect sizes and power, and utilizing statistical and analytic techniques for clinical research, epidemiology/public health, health services, or health outcomes research
- Five (5) years' experience managing multiple projects simultaneously and large-scale, multilayered projects
- Five (5) years' experience writing applied research proposals and protocols, abstracts, manuscripts, and presentations
- Five (5) years' experience working in a professional capacity and demonstrated success working effectively in teams and collaboratively with diverse investigators
- Required MS/MA/MPH in biostatistics or related discipline; any relevant combination of education and experience may be substituted
- Programming skill in SPSS, STATA, R, SAS or related languages
- Ability to collaborate with users/investigators, work independently, make necessary decisions, respond to emergency situations, and manage multiple tasks/projects concurrently
- Ability to communicate technical language effectively in writing and orally
- Demonstrated expertise in data management, including data collection, extraction, formatting, merging, field coding, and missing data
- Demonstrated technical expertise in advanced quantitative analysis, including LOGIT, Survival, GLS, Propensity Scoring, Bayesian analysis, and NLIN
- Demonstrated expertise with software for data analysis, database management, and survey administration, including SAS, Stata, R, SPSS, and REDCap
- Demonstrated subject matter expertise in public health, social services, or related areas
- Ability to develop and maintain effective working relationships with research team members at all levels
- Excellent written and oral communication skills in English
- Preferred: prior experience in a children's hospital; experience with health information systems, health quality databases, or epidemiology; familiarity with text, sound, image, and genomic data processing; DPH or PhD; coursework in machine learning; PHIS competency or other administrative/claims database certification
Benefits
Comp & perks- Compensation structure, benefits offerings, and career development programs
- Support or accommodations throughout the Talent Acquisition process
