Senior Manager, Biostatistics (rwd/rwe)

beonemedicines.de

Base: $155,000.00 - $200,000.00 annually; bonus/eq...
Not specified (further clarification needed)
Real-world data (rwd) and real-world evidence (rwe) studies
Statistical programming in big data environment
Ai capabilities for data analysis
BeOne Medicines is seeking a Senior Manager of Biostatistics to lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, emphasizing collaboration and a shared mission to combat cancer. The ideal candidate will possess advanced statistical skills, relevant programming languages proficiency, and a passion for innovative research in the biostatistics field

Job Summary

  • Design, plan and lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, including comparative effectiveness, safety, observational studies, external control arms, and outcomes research.
  • Apply AI capabilities to enhance data preparation, code development, analytical efficiency and workflow automation.
  • The company offers a comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

Matching Summary

Match Score: 85

BeOne Medicines is seeking a Senior Manager of Biostatistics to lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, emphasizing collaboration and a shared mission to combat cancer. The ideal candidate will possess advanced statistical skills, relevant programming languages proficiency, and a passion for innovative research in the biostatistics field.

Salary

Base: $155,000.00 - $200,000.00 annually; Bonus/Equity: Eligible for annual bonus plan or incentive compensation plan, discretionary equity awards, Employee Stock Purchase Plan; Benefits: Comprehensive benefits package (Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, Wellness)

Skills & Requirements

Must-have

  • Real-World Data (RWD) and Real-World Evidence (RWE) studies
  • statistical programming in big data environment
  • AI capabilities for data analysis
  • R, Python, SAS, SQL programming languages
  • design and lead statistical analyses

Nice-to-have

  • highly motivated, collaborative, passionate interest
  • scientific and business professionals
  • focus on details and execution
  • fosters teamwork and embraces change
  • entrepreneurial mindset and continuous learning

Key Requirements

  • PhD or Master's degree with relevant work experience
  • Minimum 2 years relevant work experience (PhD)
  • Minimum 4 years relevant work experience (Master's)
  • Advanced proficiency in R, Python, SAS, or SQL
  • Advanced knowledge in RWD, HEOR, and Epidemiologic methodology

Work Rights

Not specified

Tailored Resume

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