RWE Lead Scientist — Observational Data & Regulation

Scorpion Therapeutics; Spring House (PA); On-site; USD 180,000 - 240,000; Full time

Job summary

Johnson & Johnson's Innovative Medicines division seeks a Lead scientific and technical expert in Real-World Evidence (RWE) to oversee RWE projects, develop methodologies, and mentor team members.

You will lead end-to-end RWE studies, design analytic plans, create tools to streamline delivery, mitigate bias in external control studies, and collaborate with therapy area scientists to inform regulatory interactions with real-world data sources such as EHRs and claims databases.

Qualifications

• Ph.D. in epidemiology or biostatistics required.
• Minimum 5 years' relevant experience in biopharma or healthcare data analytics.
• Expert coding skills in R, Python, or SAS.
• Extensive experience with real-world data sources (EHR, claims, registries).
• Proficiency in statistical bias mitigation techniques.
• Strong communication skills.

Responsibilities

• Lead end-to-end RWE studies including data feasibility, study design, analysis, and interpretation.
• Develop tools to streamline project delivery.
• Provide thought leadership on bias mitigation in external control and comparative studies.
• Generate insights from post-hoc RCT analyses and observational data to support regulatory interactions.
• Create study protocols and statistical analysis plans.
• Collaborate with therapeutic area scientists to shape RWE strategies.

Skills

R

Python

SAS

Education

Ph.D. in epidemiology or biostatistics

Tools

EHR data

Claims data

Registries

Job description

Johnson & Johnson's Innovative Medicines division seeks a Lead scientific and technical expert in Real-World Evidence (RWE) to oversee RWE projects, develop methodologies, and mentor team members.

You will lead end-to-end RWE studies, design analytic plans, create tools to streamline delivery, mitigate bias in external control studies, and collaborate with therapy area scientists to inform regulatory interactions with real-world data sources such as EHRs and claims databases.