Manager, Real-World Data and Analytics (HEOR)

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.

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.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: 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, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

Salary Range (annually) $128,600.00 - $210,000.00

Build our future together:

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Manager, Real-World Data and Analytics (RWDnA) to support the generation of real-world evidence (RWE) in oncology through the analysis of real-world data (RWD). Under the guidance of senior team members, you will be programming on internal RWD assets to support RWE generation to address research questions. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide., Regeneron is a leading biotechnology company that invents, develops, and commercializes life-transforming medicines for people with serious diseases. Founded and led by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to numerous approved treatments and product candidates in development, most of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye diseases, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, neurological diseases, hematologic conditions, infectious diseases, and rare diseases.