RWE Analytics Leader — Associate Director (Remote)

Visa Hunt; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Sanofi is seeking an Associate Director, Real World Evidence (RWE) Analytics in Morristown, NJ. This full-time role focuses on oversight of analyses in large databases and collaboration with HEVA, medical affairs, BO&S and commercial teams.

Expect leadership of junior staff and expertise in observational data, epidemiology, and secondary data sources like claims and EHRs. The position requires strong programming in R, Python, and SQL, and a solid background in statistics and data science.

Qualifications

• BA/BS + 5 years of relevant experience OR MS/PhD + 3 years of relevant experience.
• Academic training in mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or related quantitative field (preferred)
• Experience programming in R, Python, and SQL

Responsibilities

• Oversee implementation of analyses and studies and provide senior support to Data Analysts on the RWE team.
• Assess study feasibility across data sources available for analysis.
• Propose and conduct exploratory analyses to generate insights and inform study design decisions.
• Characterize disease epidemiology and burden using descriptive and comparative designs.
• Develop analysis plans and table shells from study protocols.
• Report results in study tables, dashboards or slide decks.

Skills

R

Python

SQL

Education

BA/BS + 5 years of relevant experience

MS/PhD + 3 years of relevant experience

Job description

Sanofi is seeking an Associate Director, Real World Evidence (RWE) Analytics in Morristown, NJ. This full-time role focuses on oversight of analyses in large databases and collaboration with HEVA, medical affairs, BO&S and commercial teams.

Expect leadership of junior staff and expertise in observational data, epidemiology, and secondary data sources like claims and EHRs. The position requires strong programming in R, Python, and SQL, and a solid background in statistics and data science.