Senior Data Analyst

4 hours ago

Espoo, Uusimaa, Finland IQVIA Argentina Full time
Job Overview
The Principal Statistical Analyst - Real World Data plays a key role in leading and supporting statistical programming activities related to the analysis of real-world data. This involves working closely with biostatisticians, epidemiologists, clinical scientists, medical affairs, health economics, and outcome scientists to ensure high-quality and compliant deliverables in a timely manner that support real-world evidence generation and regulatory submissions.

Main Responsibilities:
  • Develop, validate, and maintain statistical programs for the analysis of real-world data, ensuring compliance with internal SOPs.
  • Perform RWD related tasks, including data cleaning, data transformation, and analysis data creation from multiple sources, while ensuring data quality and integrity.
  • Implement statistical analysis plans (SAP) and generate tables, listings, and figures (TLFs) to support publication and regulatory submissions.
  • Develop analytical methods leveraging RWD to answer life science key business questions such as line of therapy, compliance/persistence, patient journey, treatment pattern, and comparative effectiveness.
  • Consolidate data from various real-world sources (e.g., electronic health records, claims data, registries) to prepare analysis-ready datasets.
  • Create and maintain documentation for programming to ensure reproducibility and transparency.
  • Assist in the preparation of statistical reports, presentations, and publications.
  • Conduct quality control checks on datasets and statistical outputs to ensure accuracy.
  • Extensive experience with MS Office Suite (Excel & PowerPoint).

Requirements:
  • M.S. in Statistics, Biostatistics, or related quantitative science field.
  • Minimum of 5+ years' experience in the healthcare industry.
  • Proficiency in statistical programming using SAS and R. Experience with SQL would be a plus.
  • 2+ years' experience with analyzing real-world data (RWD), such as electronic health records, administrative claims data, or disease/patient registries, survey data.
  • Strong understanding of data management principles, including data quality.
  • Proven ability to plan, manage, execute statistical programming activities independently with minimum supervision.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.
  • Ability to manage multiple projects and meet deadlines.
  • A positive attitude and eagerness to learn, solid work ethic, and intellectual curiosity.

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