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

BioSpace; Village of Sleepy Hollow (NY); On-site; USD 151,000 - 246,000; Full time

Benefits offered by this job

Annual bonuses

Equity awards

Pension benefits

401(k) company match

Health and wellness programs

Fitness centers

Insurance benefits (medical, dental, X

Life and disability

Paid time off

Family support benefits

Job summary

Regeneron is seeking a Senior Manager, Real-World Data and Analytics to support RWE generation in oncology. You will contribute to SAPs, develop RWE queries, and perform hands-on programming using SAS and R on internal RWD assets.

You will collaborate with project teams, support publications, and engage with vendors and research partners. The role requires advanced degrees and substantial experience in real-world data and analytics in oncology.

Qualifications

• PhD in quantitative field with 2+ years programming or MSc with 4+ years programming experience.
• Experience with real-world data sources (claims data, EHRs).
• Oncology research experience and oncology real-world data preferred.
• Proficient in SAS and R programming languages.

Responsibilities

• Develop RWE queries, protocols and SAPs within oncology.
• Translate analytic findings into actionable insights for project teams.
• Perform end-to-end RWE query and study delivery with hands-on programming and QC.
• Evaluate suitable real-world data sources to address research questions.
• Contribute to scientific communications (abstracts, posters, manuscripts).
• Coordinate with external analytics vendors and research partners.

Skills

Survival analysis

Propensity score methods

Generalized linear models

Machine learning

Communication skills

Education

Doctoral degree in quantitative field

Master's degree in related field

Tools

SAS

R

Job description

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

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, colour, 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.

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)
$150,500.00 - $245,500.00