Description

You will conduct statistical analysis and data visualization to provide actionable insights for clinical, medical, and commercial teams.

Responsibilities

• Manage large, diverse datasets including ingestion, cleaning, quality control, and cloud storage.
• Perform statistical analysis, modeling, and visualization using Python or R to derive meaningful insights.
• Prepare summary statistics, tables, figures, and reports for presentations and publications.
• Collaborate with cross-functional teams to translate quantitative findings into HCP- and patient-facing communications.
• Document analytical methods and communicate recommendations to stakeholders at all levels.

Required Skills

• Bachelor’s or Master’s degree in a technical discipline with 2+ years of relevant experience.
• Proficiency in Python and/or R for statistical programming and data visualization.
• Experience working with large datasets and big data cloud environments.
• Strong foundation in statistical analysis applied to diabetes management, psychology, or physiology.
• Excellent written and verbal communication skills for sharing insights with colleagues.
• Proficiency with Microsoft Office Suite.

Preferred Skills

• Experience planning and implementing data collection using tools like Qualtrics.
• Background in a research role within healthcare or technology industries.

Key Skills

Education

Bachelor's or Master's degrees