Senior Principal Scientist, Data Science RWE

About the role

The Real-world Evidence & Advanced Analytics team within Johnson & Johnson Innovative Medicines is seeking a hands-on scientific and technical leader to join our team. This role includes:

• Leading a portfolio of Real-World Evidence (RWE) projects
• Developing best practices and mentoring team members
• Identifying common technical requirements for RWE projects
• Maintaining a common suite of tools for RWE data scientists
• End-to-end expertise in RWE studies, including research question conceptualization, data feasibility, study design, analysis, programming, and interpretation
• Providing thought leadership and hands-on programming expertise for RWD methodologies
• Generating actionable insights from post-hoc RCT analyses, observational databases, and literature reviews
• Partnership with Data Science Therapeutic Area scientists to conceptualize, lead, shape, and deliver RWE

Responsibilities

Key responsibilities include:

• Hands-on scientific and technical leadership in RWE projects
• Development and maintenance of a common suite of tools for RWE data scientists
• End-to-end expertise in RWE studies
• Programming expertise for RWD methodologies
• Statistical analysis and programming deliverables creation
• Interacting with regulatory agencies
• Collaboration with Data Science Therapeutic Area scientists

Requirements

Qualifications required:

• Ph.D. in epidemiology or biostatistics
• Expert coding skills using R, Python, or SAS
• At least 5 years of relevant experience in biopharma companies, RWE consulting firms, or 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

Preferred Qualifications

• Familiarity with drug discovery and clinical development processes
• Subject matter knowledge in oncology, immunology, or neuroscience
• Experience in regulatory-grade evidence and responding to agency reviews

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

Benefits

• Pension plan
• 401(k) savings plan
• Long-term incentive program
• Vacation
• Sick time
• Holiday pay
• Parental leave
• Bereavement leave
• Caregiver leave
• Volunteer leave
• Military spouse time-off