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

BioSpace; Village of Sleepy Hollow (NY); Sur place; USD 151 000 - 246 000; Plein temps

Avantages offerts par ce poste

Annual bonuses

Equity awards

Pension or retirement benefits

401(k) company match

Health and wellness programs

Fitness centers

Insurance benefits

Paid time off

Family support benefits

Résumé du poste

Regeneron is seeking a Senior Manager, Real-World Data and Analytics to support generation of real‑world evidence in oncology. You will develop SAPs, run analyses, and perform hands‑on programming on internal RWD assets to answer research questions, while supporting publications and vendor management.

The role involves translating analytic results into actionable insights for project teams and collaborating with external analytics partners to advance RWE studies.

Qualifications

• Doctoral degree or Master’s degree with extensive hands‑on programming experience
• Hands‑on programming with real‑world data sources (claims/EHRs)
• Experience in oncology research and oncology real‑world data
• Advanced programming capabilities using SAS and R
• Strong communication skills and ability to translate analytics into project insights

Responsabilités

• Develop RWE queries, protocols, and SAPs within oncology
• Translate analytic findings into insights for project teams
• Perform end‑to‑end RWE query and study delivery with quality control of code
• Evaluate real‑world data sources for research questions
• Contribute to scientific communications and publications
• Coordinate with external vendors and research partners

Connaissances

Survival analysis

Propensity score methods

Generalized linear models

Machine learning on real‑world data

Formation

Doctoral degree in a quantitative field

Master's degree in a related field

Outils

SAS

R

Description du poste

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 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.

This position offers the opportunity to contribute to a fast‑growing, science‑driven organization making a meaningful difference to patients worldwide.

When & Where

Location: Sleepy Hollow, NY

Discover Your Role

• 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

This Role Requires

• 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

Does this sound like you? We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

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
• 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.

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.

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)

$150,500.00 - $245,500.00