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

Regeneron; United States; On-site; USD 140,000 - 175,000; 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

Paid time off

Family support benefits

Job summary

Regeneron is seeking a Senior Manager, Real-World Data and Analytics to lead RWE work in oncology, delivering data-driven insights from real-world data. You will develop query protocols, implement analyses in SAS/R, and guide end-to-end study delivery while collaborating with vendors and research partners.

You will translate complex analyses into actionable insights for project teams and contribute to publications and scientific communications to advance cancer research.

Qualifications

• Doctoral degree in a quantitative field with 2+ years of hands-on programming experience; or Master’s degree with 4+ years of hands-on programming experience.
• Hands-on experience with real-world data sources such as administrative claims data (e.g., Optum, Medicare, Komodo) and EHRs.
• Experience in oncology research and oncology-specific real-world data (e.g., Flatiron, ConcertAI).
• Advanced programming capabilities using SAS and R.
• Proficiency in 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.

Responsibilities

• Contribute to development of RWE queries, SAPs, and statistical analysis plans for oncology.
• Translate analytic findings into clear insights and communicate them to project teams.
• Support end-to-end RWE query and study delivery with hands-on programming and QC of analytic code.
• Evaluate and identify appropriate real-world data sources to address research questions.
• Contribute to scientific communications, abstracts, posters, manuscripts, and internal presentations.
• Coordinate with external analytics vendors and research partners.

Skills

SAS

R

Survival analysis

Propensity scores

GLMs

Machine learning

EHR data

Oncology data

Healthcare data science

Written communication

Verbal communication

Education

PhD in quantitative field

MS 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) who 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

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/.

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.

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 educa