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

Posted 3 Days Ago
Be an Early Applicant
Sleepy Hollow, NY, USA
In-Office
151K-246K Annually
Senior level
Biotech • Pharmaceutical
The Role
Lead and execute real-world evidence analyses in oncology: develop RWE protocols and SAPs, perform hands-on programming and QC, evaluate RWD sources, apply statistical and machine learning methods, support scientific communications, and coordinate with external analytics vendors and research partners.
Summary Generated by Built In

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? Apply now to take your first step towards living the Regeneron Way! 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, 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 on‑site. Please speak with your recruiter and hiring manager for more information about on‑site 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

Skills Required

  • Doctoral degree in a quantitative field with 2+ years of hands-on programming experience
  • Master's degree in a related field with 4+ years of hands-on programming experience
  • Hands-on experience with real-world data sources including large-scale administrative claims (Optum, Medicare, Komodo) and EHRs
  • Experience in oncology research and with oncology-specific real-world data (Flatiron, ConcertAI)
  • Advanced programming capabilities using SAS
  • Advanced programming capabilities using 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

Regeneron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Regeneron and has not been reviewed or approved by Regeneron.

  • Healthcare Strength Medical, dental, and vision coverage is positioned as comprehensive, with Regeneron prescription drugs covered at 100% for those enrolled in the medical plan. Mental health support is also emphasized through EAP access and tools like Talkspace and the Journey app.
  • Equity Value & Accessibility Stock grants are described as available to all employees, strengthening the overall total-rewards package beyond base pay. Long-term incentives and stock-related rewards are repeatedly framed as meaningful components of compensation.
  • Parental & Family Support Paid parental leave is paired with fertility/adoption assistance and childcare-related support such as discounts and nanny services. Additional family-oriented resources extend to elder care, pet care, and education support like college coaching and tutoring.

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The Company
HQ: Tarrytown, NY
15,000 Employees
Year Founded: 1988

What We Do

At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.

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