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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in real-world data (RWD) analysis and epidemiological studies, with a strong foundation in statistical methods and programming languages. Capable of leading cross-functional projects and ensuring scientific rigor in data-driven decision-making.
Highest-signal resume keywords
Real-World Data AnalysisEpidemiologyStatistical MethodsCross-Functional Project LeadershipRegulatory Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical MethodsProgramming LanguagesAnalytical MethodologiesEpidemiological StudiesData Pipeline DevelopmentRWD IntegrationEvidence GenerationClinical DevelopmentData Science Problem Solving
Soft Skills
Excellent Communication SkillsIndependent ThinkingStrategic AgilityProblem-SolvingCritical Thinking
Tools & Technologies
EMRClaims DataRegistry DataDigital Health DataRWD Platforms
Industry Keywords
PharmacoepidemiologyHEORCardiovascular DiseaseRenal DiseaseMetabolic Disease
About the role
Key responsibilities & impact- Apply in-depth knowledge of real-world data and observational research to support study design, data analysis, and evidence generation across disease areas
- Solve complex data science problems using fit-for-purpose analytical tools and real-world data assets
- Contribute to development, regulatory, payer, and other strategic deliverables
- Lead moderate-sized projects or data science activities focused on real-world data applications in clinical development
- Independently lead substreams or large-scale cross-functional projects focused on RWD integration into clinical development and decision-making
- Collaborate with cross-functional teams to define RWD needs and develop data pipelines
- Ensure scientific rigor in execution and documentation
- Build expertise in novel data types, statistical methods, programming languages, and analytical methodologies
- Support knowledge sharing, tooling standardization, and continuous improvement in RWD methodology and delivery
- Broaden knowledge, capabilities, and skill set
Requirements
What you’ll need- Master’s or PhD in Epidemiology, Biostatistics, Data Science, or a related field
- Minimum of 5 years of experience with RWD analyses or epidemiological studies in healthcare or pharma; or an advanced degree with 3 years of equivalent work experience
- Familiarity with RWD platforms, regulatory frameworks, and standard data models
- Practical experience working with EMR, claims, registry, or digital health data (preferred)
- Experience contributing to submissions or publications involving RWD (preferred)
- Experience in cardiovascular, renal, or metabolic disease therapeutic areas (a plus)
- Exposure to pharmacoepidemiology or HEOR (preferred)
- Excellent verbal and written communication skills, specifically presentation and writing
- Ability to explain complex technical concepts in clear language
- Capacity for independent thinking and sound decision-making
- Strategic agility, problem-solving, and critical thinking skills
- Respect for cultural differences in a global workplace
Benefits
Comp & perks- Flexible working environment
- Relocation Assistance is not available
- Equal opportunity employer committed to diversity and inclusion
- Flexible working requests reviewed with care