Director, Data & Epidemiology Analytics

Live Well Homecare Agency, LLC; Princeton (NJ); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Partial remote work up to 40%

Job summary

Live Well Homecare Agency, LLC is seeking a Director of Real-World Data & Epidemiology Analytics to lead observational studies using diverse data sources and to drive AI-enabled analytics for clinical development, market access, and health-policy decisions.

The role requires a graduate degree and 10+ years of experience in real-world evidence generation and epidemiology analytics, with expertise in observational study design, statistics, and AI/ML frameworks.

Qualifications

• Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or related field.
• 10+ years of experience in real-world evidence generation and epidemiology analytics.
• Expertise in observational study design, statistical methods, and RWD evaluation.
• Proficiency in SAS, R, Python and AI/ML frameworks.

Responsibilities

• Collaborate to design, execute, and report epidemiologic studies supporting specific assets and indications.
• Perform feasibility assessments to identify optimal RWD sources such as claims, EHR, and registries.
• Manage study execution, including data analysis, programming, and quality control per regulatory standards.
• Present complex findings clearly to technical and non-technical audiences.
• Evaluate emerging data modalities and integrate them into evidence-generation efforts.
• Lead AI pilot projects and scale successful applications within routine analytics.
• Mentor scientists and programmers, fostering technical growth.
• Establish standardized processes, governance, and infrastructure for data and analytics.
• Contribute to department strategy and represent the team on key initiatives.

Skills

Real-world evidence

Epidemiology analytics

Observational study design

Statistical programming

Education

Graduate degree 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 real-world data sources. This role involves strategic leadership, expertise in observational study methods, data infrastructure development, and advanced AI-driven analytics to support clinical development, market access, and health-policy decisions.

Responsibilities:

• Collaborate to design, execute, and report epidemiologic studies supporting specific assets and indications.
• Perform feasibility assessments to identify optimal RWD sources such as claims, EHR, and registries.
• Manage study execution, including data analysis, programming, and quality control per regulatory standards.
• Present complex findings clearly to technical and non-technical audiences.
• Evaluate emerging data modalities and integrate them into evidence-generation efforts.
• Lead AI pilot projects and scale successful applications within routine analytics.
• Mentor scientists and programmers, fostering technical growth.
• Establish standardized processes, governance, and infrastructure for data and analytics.
• Contribute to department strategy and represent the team on key initiatives.

Qualifications & Skills:

• Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or related field.
• 10+ years’ experience in real-world evidence generation and epidemiology analytics.
• Expertise in observational study design, statistical methods, and RWD evaluation.
• Proficiency in statistical programming (SAS, R, Python) and AI/ML frameworks.
• Strong communication, presentation, and stakeholder management skills.
• Oncology experience is preferred.
• Proven research achievements and ability to work independently and in teams.
• Excellent organizational skills and ability to handle pressure.

Work Flexibility:

Offers partial remote work with approval, up to 40% away from the office.