Senior Manager, Real-World Data and Analytics (HEOR)-1

About the role

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. The Senior Manager, Real-World Data and Analytics (RWDnA) will support the generation of real-world evidence (RWE) in oncology by delivering data-driven insights through the analysis of real-world data (RWD). The individual will contribute to query/protocol/statistical analysis (SAP) development and execute analyses of RWD to support the generation of RWE to address research questions. The successful candidate will conduct hands-on programming on internal RWD assets, support publication activities, and participate in vendor management.

Location

Sleepy Hollow, NY

Responsibilities

• Contribute to the development of RWE queries, protocols, and statistical analysis plans (SAPs) within oncology
• Translate analytic findings into clear insights and communicate them directly to project teams
• Support end-to-end RWE query and study delivery, including hands-on programming and quality control of analytic code
• Evaluate and identify appropriate real-world data sources to address specific research questions
• Contribute to scientific communications, including abstracts, posters, manuscripts, and internal presentations
• Support senior team members in coordinating activities with external analytics vendors and research partners

Qualifications

• Doctoral degree in a quantitative field focused on the application of data science to healthcare data with 2+ years of hands-on programming experience; or a Master's degree in a related field with 4+ years of hands-on programming experience
• Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo claims) and electronic health records (EHRs)
• Experience in oncology research and with oncology-specific real-world data (e.g., Flatiron, ConcertAI)
• Advanced programming capabilities using SAS and R
• Proficiency in statistical methodologies including survival analysis, propensity score methods, and generalized linear models
• Experience with machine learning approaches applied to real-world data
• Excellent written and verbal communication skills

Pay

Salary range (annually) for Canada: $150,500.00 - $245,500.00. The final offer will be determined within the relevant range based on the country of employment, specific role level, and skills and experience. In some countries, collective bargaining agreements may apply and influence certain elements of pay or benefits.

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