Director, Real-World Data & Oncology Epidemiology

Vetted Solutions; Princeton (NJ); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health plans

Retirement contributions

Paid time off

Wellness support

Job summary

Vetted Solutions is seeking a Director of Real-World Data & Epidemiology Analytics to lead observational studies using diverse real-world data sources. The role focuses on designing studies, conducting survival and economic modeling for health technology assessments, and communicating findings to technical and non-technical stakeholders.

The position emphasizes mentoring scientists, integrating AI-driven analytics, and advancing data infrastructure in a fast-paced cancer and serious-disease

Qualifications

• Graduate degree in Epidemiology, Biostatistics, Public Health, or related field.
• 10+ years in real-world evidence generation and epidemiology analytics.
• Expertise in observational study design, survival analysis, causal inference, and RWD evaluation.

Responsibilities

• Design, run, and report observational studies using diverse RWD sources.
• Conduct survival and economic modeling to support HTA.
• Manage study execution including data management and QA.
• Translate complex results for diverse audiences.
• Evaluate new data modalities and integrate AI analytics.
• Mentor scientists and programmers.
• Develop standardized processes for study execution and data management.
• Contribute to strategic departmental initiatives.

Skills

Real-world evidence

Epidemiology analytics

Survival analysis

Causal inference

SAS

R

Python

Data presentation

Stakeholder management

AI/ML frameworks

Scientific writing

Education

PhD or Master's in Epidemiology/Biostatistics/Public Health

Tools

SAS

R

Python

AI/ML frameworks

Job description

Vetted Solutions is seeking a Director of Real-World Data & Epidemiology Analytics to lead observational studies using diverse real-world data sources. The role focuses on designing studies, conducting survival and economic modeling for health technology assessments, and communicating findings to technical and non-technical stakeholders.

The position emphasizes mentoring scientists, integrating AI-driven analytics, and advancing data infrastructure in a fast-paced cancer and serious-disease