Manager, Real-World Data and Analytics (HEOR)

Regeneron is a science-driven organization focused on developing life-changing medicines for serious diseases. The Manager, Real-World Data and Analytics (RWDnA) will support the generation of real-world evidence in oncology through data analysis and programming, contributing to meaningful patient outcomes.

Responsibilities

• Support the development of RWE queries, protocols, and SAPs in the oncology therapeutic area
• Perform analyses of RWD using established methodologies and communicate findings to project teams and RWDnA colleagues
• Support the preparation of presentations, publications, and other communication materials that summarize RWE findings
• Provide operational support for interactions with external analytics vendors, including tracking deliverables and coordinating project activities

Preferred

• Oncology experience would be preferred
• Oncology experience

Benefits

• Annual bonuses or other incentive plans
• Equity awards
• Pension or retirement benefits
• 401(k) company match
• Health and wellness programs
• Fitness centers
• Insurance benefits (e.g. medical, dental, vision, life and disability)
• Paid time off
• Family support benefits

Company

• Develops and commercializes biopharmaceutical medicines for serious diseases
• Tarrytown, New York, USA
• http://www.regeneron.com/
• Founded in 1988
• 10001+ employees

Qualifications

• Doctoral degree in a quantitative field applying data science to healthcare data, or a Master's in a related field with 3+ years of relevant hands-on programming experience
• Advanced programming skills in SAS and R
• Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo) and electronic health records
• Proficiency in statistical methods including survival analysis, propensity score methods, and generalized linear models
• Ability to work collaboratively in cross-functional environments
• Oncology experience would be preferred

Required skills

• , SAS programming, R programming, Real-world data analysis, Administrative claims data Optum, Administrative claims data Medicare, Administrative claims data Komodo, Survival analysis, Propensity score methods, Generalized linear models

Preferred skills

• Oncology experience would be preferred

Experience

• 3+ years