Senior Manager, Real-World Data & Analytics - Oncology

BioSpace

Village of Sleepy Hollow (NY)

On-site

USD 151,000 - 246,000

Full time

6 days ago
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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

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.

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