Job Title:Principal Statistical Analyst – Real World Data

Overview of Role:The Principal Statistical Analyst - Real World Data will lead and support statistical programming activities related to the analysis of real-world data. This role 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 word evidence generation and regulatory submissions.

Key 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).

Qualifications:

• M.S. in Statistics, Biostatistics, or related quantitative science field.
• Minimum of 4+ year’ experience in the healthcare industry.
• Proficiency on 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 eager to learn, solid work ethic, and intellectual curiosity.