Description

You will analyze clinical and safety data to drive insights for cross-functional stakeholders.

Responsibilities

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

Required Skills

• 4+ years of experience in data analysis, statistical modeling, and data visualization.
• Proficiency in Python, R, SAS, or SQL.
• Experience applying statistical methodologies such as regression and survival analysis.
• Strong understanding of data sources including 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.
• Bachelor's degree in Biostatistics, Analytics, Engineering, or a related discipline.

Preferred Skills

• Master's degree in a relevant field.
• Experience or familiarity within the biopharma or healthcare industry.

Key Skills

Education

Any graduate