Remote Real-World Evidence Data Analyst

Placements24; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Placements24 is seeking a highly analytical Remote Pharmaceutical Data Analyst to generate Real-World Evidence. You will handle large, complex datasets from EHRs, claims, and registries, applying advanced statistics to reveal insights for product value and outcomes research.

The role requires 4+ years in data analysis within pharma or life sciences, with strong R/Python and SQL skills. It is fully remote, with global collaboration and opportunities for HEOR work.

Qualifications

• Master’s degree or PhD in a quantitative field as listed.
• Minimum 4 years of data analysis experience in pharma/healthcare.
• Proficiency in R or Python and SQL for large datasets.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Collect and clean large datasets from diverse sources.
• Apply statistical methods to identify trends and correlations.
• Develop analytical models to generate Real-World Evidence.
• Create visualizations and reports for technical and non-technical audiences.
• Collaborate with epidemiologists and biostatisticians to interpret results.
• Ensure data privacy and documentation of sources and methodologies.
• Stay updated on RWE methodologies and pharma industry trends.
• Support real-world studies and HEOR projects.

Skills

R

Python

SQL

Statistical modeling

Data analysis

Education

Master’s degree in Statistics, Biostatistics, Data Science, Epidemiology, Health Economics

PhD in Statistics, Biostatistics, Data Science, Epidemiology, Health Economics

Job description

Placements24 is seeking a highly analytical Remote Pharmaceutical Data Analyst to generate Real-World Evidence. You will handle large, complex datasets from EHRs, claims, and registries, applying advanced statistics to reveal insights for product value and outcomes research.

The role requires 4+ years in data analysis within pharma or life sciences, with strong R/Python and SQL skills. It is fully remote, with global collaboration and opportunities for HEOR work.