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Associate Director, Registry Data Analytics

Job in Rosemont, Cook County, Illinois, USA
Listing for: American Academy of Dermatology
Full Time position
Listed on 2026-08-19
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Rosemont

The American Academy of Dermatology is seeking an Associate Director, Registry Data Analytics located in our Rosemont, IL. office responsible for providing strategic direction of analytics and data operations supporting Data Derm, the American Academy of Dermatology’s clinical data registry, Responsible for ensuring that Data Derm has excellent data quality; ensures compliance with clinical registry specifications and national reporting and submission requirements;

and oversees all aspects of clinical data governance and analysis for the Data Derm. Direct a team responsible for data analysis and report generation to achieve specialty-wide goals. Work closely with others across the Academy and within membership to achieve the Academy’s goals as it relates to all Data Derm scientific and analytic initiatives.

About Us:

The American Academy of Dermatology (Academy), founded in 1938, is the largest, most influential, and most representative of all dermatologic associations. A sister organization to the Academy, the American Academy of Dermatology Association is the resource for government affairs, health policy and practice information for dermatologists, and plays a major role in formulating policies that can enhance the quality of dermatologic care.

With a membership of more than 21,000 members worldwide, the Academy is committed to: advancing the diagnosis and medical, surgical, and cosmetic treatment of the skin, hair, and nails; advocating high standards in clinical practice, education, and research in dermatology; and supporting and enhancing patient care for a lifetime of healthier skin.

To learn more about the Academy please visit our website .org, or follow us on these social media outlets:

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Responsibilities:
  • Lead and mentor team responsible for managing Data Derm dataset, including storage, cleaning, analysis, and sharing in a HIPAA- compliant environment. Facilitate the process for de-identification of data, such as in clinical notes. Manage access to the data including to all internal and external stakeholders ensuring appropriate disclosure agreements and other operational safeguards.
  • Lead development of a data strategy aligned with other efforts across AAD’s Science & Quality team including Quality Innovation but also including patient outcomes. Collaborate with key stakeholders to define registry data priorities.
  • Direct analytics team to plan and execute Data Derm data releases to support research, quality improvement, and other approved initiatives. Oversee project timelines and resources to ensure timely, high-quality analytic outputs that meet stakeholder needs. Collaborate with stakeholders to define research priorities.
  • Lead and implement all aspects of analytic projects, including leading advanced statistical analyses, preparation of data, development of approach and corresponding code, review of outputs, dissemination and communication of outputs with stakeholders. Review data for plausibility and patterns for outliers and inconsistencies within the data. Summarize data trends, gaps, and patterns. Work with Academy staff on review and assurance of all aspects of data quality (e.g., completeness, standardization, accuracy).
  • Lead the strategy, development, and execution of data linkages between Data Derm and external data sources (e.g., claims data, EHR systems, and other real-world data assets) to enhance the depth, longitudinal value, and research utility of the registry. Ensure all linkage activities meet regulatory, privacy, and data governance requirements. Establish and enforce data governance frameworks tailored to dermatology registry standards.
  • Drive the development and application of advanced analytics, including machine learning and augmented intelligence approaches, to generate predictive insights, support clinical decision-making, and enable next-generation registry-based products and tools.
  • Collaborate with cross-functional teams (e.g., product, marketing, business development) to translate Data Derm data assets into scalable data products, analytics solutions, and research offerings, supporting both member value and sustainable revenue generation.
  • Ser…
Position Requirements
10+ Years work experience
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