Description

Analyze clinical and safety data to drive insights for cross-functional stakeholders.

This role is on-site.

Responsibilities

• Clean, transform, and pre-process data to ensure quality and consistency.
• Develop and implement data analysis plans to address clinical and safety questions.
• Apply statistical techniques to analyze datasets and generate safety insights.
• Visualize data and communicate findings through reports and presentations.
• Collaborate with data engineers and PV CoE to gather requirements.

Required Skills

• 4+ years of experience in data analysis and statistical modeling.
• Proficiency in Python, R, SAS, or SQL.
• Experience applying statistical methodologies such as regression and survival analysis.
• Strong understanding of clinical trial data, electronic health records, and healthcare databases.
• Hands-on experience with data pre-processing and cleaning techniques.
• Working knowledge of visualization tools like Tableau or Power BI.
• Experience analyzing real-world data.

Preferred Skills

• Bachelor's degree in Biostatistics, Analytics, Engineering, or a related discipline.

Key Skills

Education

Any graduate