Lead Real-World Evidence Strategy - Associate Director

MSI Pharma

United States

Hybrid

USD 130,000 - 170,000

Full time

14 days+
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Job summary

A leading pharmaceutical company is seeking an Associate Director, Real-World Evidence Scientist to lead real-world research and oversee epidemiologic studies. This senior role requires an advanced degree (MD, PhD, or MS) with 5+ years of RWE experience in Pharma/Biotech. The successful candidate will have strong skills in SAS, R, and Stata, managing vendor performance, and collaborating across time zones. Apply now for the opportunity to impact evidence planning in a dynamic environment.

Qualifications

  • Advanced degree: MD, PhD, or MS in Epidemiology, Biostatistics, Public Health, or related field.
  • 5+ years of progressive epidemiology or RWE experience, including at least 5 years in Pharma/Biotech.
  • Demonstrated experience leading prospective/Phase IV epidemiologic studies.
  • Proficiency with SAS, R, Stata and deep understanding of RWD structures.

Responsibilities

  • Lead the design, execution, and analysis of real‑world and observational research studies with methodological rigour.
  • Manage in‑flight Phase IV and post‑approval epidemiologic studies and oversee CRO/vendor performance.
  • Develop protocols for real‑world studies and pragmatic trials; provide methodological and scientific guidance.

Skills

Epidemiology
RWE experience
SAS
R
Stata
Independent working
Cross-timezone collaboration

Education

MD, PhD, or MS in Epidemiology, Biostatistics, Public Health

Tools

SAS
R
Stata

Job description

A leading pharmaceutical company is seeking an Associate Director, Real-World Evidence Scientist to lead real-world research and oversee epidemiologic studies. This senior role requires an advanced degree (MD, PhD, or MS) with 5+ years of RWE experience in Pharma/Biotech. The successful candidate will have strong skills in SAS, R, and Stata, managing vendor performance, and collaborating across time zones. Apply now for the opportunity to impact evidence planning in a dynamic environment.
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