Director, Data & Epidemiology Analytics

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

Role

The Director of Real-World Data & Epidemiology (RWD & Epi) Analytics leads the design, execution, and communication of observational studies using diverse RWD sources.

Responsibilities

• Collaborate with asset leaders to plan and report epidemiologic studies, including feasibility assessments, study design, data analysis, and reporting.
• Conduct survival and economic modeling to support health technology assessments (HTA).
• Manage study execution, including data management, analysis programming, and quality assurance, ensuring regulatory compliance.
• Present findings clearly to technical and non-technical audiences, translating complex data into actionable insights.
• Evaluate emerging data modalities and integrate AI-driven analytics into evidence-generation processes.
• Mentor scientists and programmers, fostering technical growth and best practices.
• Develop standardized processes for study execution, data management, and infrastructure evolution in collaboration with data and AI teams.
• Contribute to strategic departmental initiatives and represent the team on key projects.

Qualifications & Skills

• Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or related field.
• Over 10 years of experience in real-world evidence generation and epidemiology analytics.
• Expertise in observational study design, statistical methods (e.g., survival analysis, causal inference), and RWD evaluation.
• Proficiency in statistical programming (SAS, R, Python) and AI/ML frameworks.
• Strong communication, presentation, and stakeholder management skills.
• Preferred experience in oncology and a strategic mindset for commercial and clinical contexts.
• Proven research accomplishments with peer-reviewed publications.
• Ability to work independently and collaboratively in fast-paced environments, demonstrating proactivity and enthusiasm.

Additional Details

The role offers flexible work arrangements away from the office, with a competitive salary range. Benefits include health plans, retirement contributions, paid time off, wellness support, and other perks. The position involves leadership in analytics, study design, and infrastructure development within a collaborative, innovative environment dedicated to advancing cancer and serious disease treatments.