Lead, DataDerm Analytics & Real-World Evidence (Hybrid)

American Academy of Dermatology; Rosemont (IL); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical/dental/vision/life insurance

Matching retirement contribution

Tuition reimbursement

Bonus program

Pension plan

Paid vacation/medical/personal days

Work-life balance

Recognition program

Casual work environment

Job summary

The American Academy of Dermatology in Rosemont, IL seeks an Associate Director, Registry Data Analytics to provide strategic direction for DataDerm analytics, HEOR/RWE, and data governance. This role leads a team responsible for data management, de-identification, linkage with external data sources, and advanced analytics to produce research-ready outputs for quality and outcomes studies.

Collaborate across the Academy and external partners to translate registry data into actionable evidence

Qualifications

• Advanced degree in statistics, biostatistics, epidemiology, data science or related field.
• 10+ years in data analytics, statistics, or research.
• 6+ years of people management experience.

Responsibilities

• Lead DataDerm analytics team and data management in HIPAA-compliant environment.
• Develop data strategy aligned with Science & Quality and HEOR/RWE priorities.
• Oversee data linkages between DataDerm and external sources to enhance registry utility.
• Lead advanced analytic projects, including statistical analyses and reporting to stakeholders.
• Ensure data quality, completeness, standardization, and accuracy.

Skills

Leadership

Project management

Communication

Stakeholder engagement

Analytical thinking

Education

MS/MPH/PhD in statistics/biostatistics/epidemiology/data science

Tools

SQL

R

Python

SAS

Data visualization tools

Job description

The American Academy of Dermatology in Rosemont, IL seeks an Associate Director, Registry Data Analytics to provide strategic direction for DataDerm analytics, HEOR/RWE, and data governance. This role leads a team responsible for data management, de-identification, linkage with external data sources, and advanced analytics to produce research-ready outputs for quality and outcomes studies.

Collaborate across the Academy and external partners to translate registry data into actionable evidence