Oncology Real-World Data & Analytics Manager

Regeneron; United States; On-site; USD 129,000 - 210,000; Full time

Benefits offered by this job

Bonus plans

Equity awards

Pension benefits

401(k) match

Wellness programs

Fitness centers

Insurance benefits

Paid time off

Family support

Job summary

Regeneron is seeking a Manager, Real-World Data and Analytics (RWDnA) to support the generation of real-world evidence in oncology through analysis of large real-world data assets. You will program on internal RWD assets to address research questions and communicate findings to project teams.

This on-site role in Sleepy Hollow, NY requires advanced SAS and R, plus hands-on experience with administrative claims data and electronic health records. Oncology experience is preferred.

Qualifications

• Doctoral degree in a quantitative field or a Master’s with 3+ years of programming experience.
• Proficiency in SAS and R for data analysis.
• Experience with real-world data sources (claims data and EHR) and oncology context preferred.

Responsibilities

• Support development of RWE queries, protocols, and SAPs in oncology.
• Perform analyses of RWD using established methodologies and communicate findings to project teams.
• Support preparation of presentations and publications summarizing RWE findings.
• Provide operational support for interactions with external analytics vendors.

Skills

SAS

R

RWE analyses

Survival analysis

Propensity score methods

GLMs

Cross-functional collaboration

Education

Doctoral degree or Master's with 3+ years programming

Tools

Claims data sources

EHR data

Job description

Regeneron is seeking a Manager, Real-World Data and Analytics (RWDnA) to support the generation of real-world evidence in oncology through analysis of large real-world data assets. You will program on internal RWD assets to address research questions and communicate findings to project teams.

This on-site role in Sleepy Hollow, NY requires advanced SAS and R, plus hands-on experience with administrative claims data and electronic health records. Oncology experience is preferred.