Senior Real-World Evidence Data Science Leader

Johnson & Johnson Co.; Titusville (NJ); On-site; USD 137,000 - 236,000; Full time

Job summary

Johnson & Johnson seeks a senior data analytics and computational sciences leader to guide Real‑World Evidence studies in New Jersey, mentoring teams and shaping study designs from data feasibility to analysis and interpretation.

You will work with RWE and regulatory teams to translate insights from EHR, claims and registry data into actionable outcomes for external reviews and strategic decisions.

Qualifications

• A Ph.D. degree in epidemiology or biostatistics.
• Expert coding skills using R, Python, or SAS.
• At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries.
• Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases.
• Expertise with multiple real-world data sources (EHR, insurance claims, registry data).
• Familiarity with clinical trial data structure.
• Excellent interpersonal, communication and presentation skills.

Responsibilities

• Be a hands‑on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members.
• Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.
• End‑to‑end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
• Provide thought leadership and hands‑on programming expertise for developing and applying Real‑World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
• Provide thought leadership and hands‑on programming expertise to generate actionable insights from post‑hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.
• Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis‑ready data, tables and figures.
• Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence.

Skills

Advanced Analytics

Consulting

Critical Thinking

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Savvy

Data Science

Data Visualization

Digital Fluency

Econometric Models

Mentorship

Strategic Thinking

Tactical Planning

Technical Credibility

Education

Ph.D. in epidemiology or biostatistics

Tools

R

Python

SAS

Job description

Johnson & Johnson seeks a senior data analytics and computational sciences leader to guide Real‑World Evidence studies in New Jersey, mentoring teams and shaping study designs from data feasibility to analysis and interpretation.

You will work with RWE and regulatory teams to translate insights from EHR, claims and registry data into actionable outcomes for external reviews and strategic decisions.