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Senior Manager, Health Economics & Outcomes Research (HEOR)- Real-World Data and Analytics, Immunology

Regeneron regeneron.com Open · verified Oct 24, 2026
Hybrid Sleepy Hollow Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Regeneron. Sleepy Hollow · full-time · $150,500–$245,500 base.

SalaryStated by Regeneron
$150,500 – $245,500
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
LocationSleepy Hollow
WorkplaceHybrid
EmploymentFull-time
Base pay$150,500–$245,500
PostedOct 16, 2026 · 8d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Help develop evidence queries, study protocols and analysis plans for oncology research questions
  • Run analyses on internal real-world data, check code quality and support study delivery from query to completion
  • Select data sources for research questions and explain findings clearly to project teams
  • Help prepare abstracts, posters, manuscripts and internal presentations
  • Support senior colleagues coordinating work with analytics vendors and research partners

What you bring

  • A quantitative healthcare data science doctorate and two years of programming, or a related master's degree and four years
  • Hands-on work with real-world data, including claims or electronic health records, plus immunology research experience
  • Advanced SAS and R skills, with survival analysis, propensity score methods and generalized linear models
  • Experience applying machine learning to real-world data

Who this fits

This senior role suits someone who can program healthcare data analyses and communicate findings to project teams. It is based in Sleepy Hollow, New York, with on-site work four days a week.

From the employer

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

• Work model: On-site 4 days/week



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, Norstella) and electronic health records (EHRs)

• Experience in immunology research

• 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
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$150k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.