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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and conducting real-world evidence studies, utilizing advanced statistical programming in SAS, R, or Python, and applying therapeutic area knowledge to evidence planning. Proficient in data visualization and effective communication of findings to diverse audiences, while ensuring quality and reproducibility in analytical processes.
Highest-signal resume keywords
SAS ProficiencyData VisualizationStatistical AnalysisReal-World Evidence StudiesICD-10-CM Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ProgrammingData PreparationCohort SelectionDataset LinkageOutcome CreationPredictive ModelingEconometricsMachine LearningStudy Protocol DevelopmentAnalytical Code Review
Soft Skills
Effective CommunicationCollaborationAttention to DetailProblem SolvingPresentation Skills
Tools & Technologies
Electronic Health RecordsClaims DatabasesLinked DatasetsData Visualization ToolsStatistical Software
Industry Keywords
Health EconomicsBiostatisticsPublic HealthPharmaceutical IndustryMedical Device IndustryHealth InsuranceMatrixed Organization
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and conduct real-world evidence studies using claims, electronic health record, and linked datasets
- Perform retrospective analyses, including data preparation, cohort selection, dataset linkage, and outcome creation
- Develop study protocols, statistical code, and analysis plans
- Interpret results and contribute to manuscripts, abstracts, reports, and conference presentations
- Create data visualizations and communicate findings to technical and non-technical audiences
- Develop and maintain reusable coding frameworks and analytical standards
- Review and validate analytical code to ensure quality and reproducibility
- Apply therapeutic area knowledge to evidence planning and study design
- Support evidence generation, market access, and business strategy across the Pain Interventions portfolio
Requirements
What you’ll need- Bachelor's degree with 4+ years OR master's degree with 2+ years of experience
- Proficiency in SAS
- For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required
- Preferred: Master's degree in Biostatistics, Statistics, Economics, Health Economics, Epidemiology, Public Health, Data Science, or Computer Science
- Experience analyzing administrative claims or electronic health record databases
- Experience with R or Python
- Experience preparing study reports, manuscripts, presentations, or data visualizations
- Knowledge of ICD-10-CM, CPT, and National Drug Code (NDC) coding systems
- Experience in the medical device, pharmaceutical, biotechnology, health insurance, hospital, or health system industries
- Experience with predictive modeling, econometrics, or machine learning using healthcare data
- Experience supporting peer-reviewed publications and scientific conference presentations
- Experience working in a matrixed organization
- Must possess unrestricted U.S. work authorization at the time of hire and for the duration of employment
Benefits
Comp & perks- Competitive salary and flexible Benefits Package
- Health, Dental and vision insurance
- Health Savings Account
- Healthcare Flexible Spending Account
- Life insurance
- Long-term disability leave
- Dependent daycare spending account
- Tuition assistance/reimbursement
- Simple Steps (global well-being program)
- Incentive plans
- 401(k) plan plus employer contribution and match
- Short-term disability
- Paid time off
- Paid holidays
- Employee Stock Purchase Plan
- Employee Assistance Program
- Non-qualified Retirement Plan Supplement (subject to IRS earning minimums)
- Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)
- Temporary employees are eligible for paid sick time, as required under applicable state law