Description

Responsibilities: 

• You will be responsible for conducting statistical analysis, data visualization and translation of results using best practices and statistical methods to provide meaningful insights to clinical, medical, and commercial teams.
• You will manage large and diverse datasets, including data ingestion, documentation, cleaning, quality control checks, and storage in cloud environments.
• You will prepare summary statistics, tables & figures for reports, presentations & publications, write descriptions of analytical methods, and draw conclusions from analysis results.
• You will be responsible for comprehensively synthesizing and translating research findings, and effectively communicating actionable insights and recommendations to stakeholders at all levels of the organization.
• You will collaborate with cross-functional teams, including product development, medical affairs, and clinical education, to translate quantitative insights for HCP- and patient- facing communications.
• You will be expected to stay updated on industry trends, methodologies, and best practices in quantitative research, continuously refining skills and approaches to deliver high-quality insights.
• You will perform other responsibilities as assigned and requested.

What makes you successful:

• Your academic background provides a strong foundation of knowledge in statistical analysis skills with application to diabetes management, psychology, and/or physiology.
• You have firsthand experience working with large datasets and in big data cloud environments for quantitative analysis, statistical analysis, and statistical modeling; you are proficient in Python and/ or R programming; and you have experience visualizing data in programming environments.
• You have experience planning and implementing data collection, organizing collected data, and using data collection tools like Qualtrics.
• Experience working in a research role within a relevant industry (e.g., technology, healthcare).
• Your excellent written and verbal communication skills facilitate the sharing of insights with colleagues and enable staying in sync with your team and manager.
• You are a team player, excited to work in a collaborative data science setting on a motivated team.
• You are well-organized, detail-oriented, employ effective time management skills, and are proficient with software tools like Microsoft Office Suite.
• You are exceptionally curious and possess critical thinking abilities to help navigate research challenges, encouraging you to ask tough questions and delve deeper into topics.

Required Skills:

• Strong foundation of knowledge in statistical analysis skills with application to diabetes management, psychology, and/or physiology
• Firsthand experience working with large datasets and in big data cloud environments for quantitative analysis, statistical analysis, and statistical modeling; you are proficient in Python and/ or R programming; and you have experience visualizing data in programming environments
• Excellent written and verbal communication skills facilitate the sharing of insights with colleagues and enable staying in sync with your team and manager

Preferred Skills: 

• Experience planning and implementing data collection, organizing collected data, and using data collection tools like Qualtrics
• Experience working in a research role within a relevant industry (e.g., technology, healthcare)
• Well-organized, team player, detail-oriented, employ effective time management skills, and are proficient with software tools like Microsoft Office Suite

Software Skills: 

• Python or R for statistical programming

Education:

• Requires a Bachelor’s degree in a technical discipline and a minimum of 2-5 years related experience, or Master’s degree and 0-2 years’ equivalent experience.
• BS or BA, preference for Masters deg

Key Skills

Education

Bachelor's or Master's degrees