Senior Manager, Real-World Data and Analytics (HEOR)-1

Regeneron Pharmaceuticals • Sleepy Hollow, WY

1d • $150,500 - $245,500

About The Position

Regeneron is seeking a Senior Manager, Real-World Data and Analytics to support the generation of real-world evidence (RWE) in oncology through data-driven analysis of real-world data (RWD). The role contributes to developing research queries, protocols, and statistical analysis plans (SAPs), and executes RWD analyses to address research questions. The successful candidate conducts hands-on programming using internal RWD assets, supports publication activities, and participates in vendor management. The position is based in Sleepy Hollow, New York, and offers the opportunity to contribute to a science-driven organization developing medicines for serious diseases.

Regeneron describes its workplace as inclusive and an equal opportunity employer. Many roles are required to be performed on-site; applicants should discuss on-site expectations for this role and location with the recruiter and hiring manager. Compensation is listed as an annual salary range of $150,500 to $245,500, with the final offer determined by factors including country, role level, skills, and experience. The company may offer a total rewards package that includes annual bonuses or other incentives, equity awards, retirement benefits, a 401(k) company match, health and wellness programs, insurance benefits, paid time off, and family support benefits, depending on country and role.

Requirements

• Doctoral degree in a quantitative field focused on applying data science to healthcare data, with at least 2 years of hands-on programming experience; or a master's degree in a related field, with at least 4 years of hands-on programming experience.
• Hands-on experience with real-world data sources, such as large-scale administrative claims data and electronic health records (EHRs).
• Experience in oncology research and with oncology-specific real-world data.
• Advanced programming capabilities using SAS and R.
• Proficiency in statistical methodologies, including survival analysis, propensity score methods, and generalized linear models.
• Experience applying machine learning approaches to real-world data.
• Excellent written and verbal communication skills.

Responsibilities

• Contribute to developing RWE queries, protocols, and statistical analysis plans (SAPs) in 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 for 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.

Benefits

• Annual bonuses or other incentive plans may be offered, depending on country and role.
• Equity awards may be offered, depending on country and role.
• Pension or retirement benefits may be offered, depending on country and role.
• 401(k) company match may be offered, depending on country and role.
• Health and wellness programs may be offered, depending on country and role.
• Fitness centers may be available, depending on country and role.
• Insurance benefits may include medical, dental, vision, life, and disability coverage, depending on country and role.
• Paid time off may be offered, depending on country and role.
• Family support benefits may be offered, depending on country and role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior