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American Academy of Dermatology

Associate Director, Registry Data Analytics

Reposted 6 Days Ago
Be an Early Applicant
In-Office
Rosemont, IL, USA
159K-183K Annually
Expert/Leader
In-Office
Rosemont, IL, USA
159K-183K Annually
Expert/Leader
Leads strategy, governance, quality, analytics, and research use of a dermatology clinical registry. Directs teams conducting HEOR, RWE, advanced statistical analyses, machine learning, data linkages, reporting, and data releases. Oversees HIPAA-compliant data operations, de-identification, stakeholder access, vendor relationships, dashboards, and registry-derived products. Translates findings into clinical, quality, policy, research, and strategic insights while collaborating with physicians, specialty stakeholders, and cross-functional teams.
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The American Academy of Dermatology is seeking an Associate Director, Registry Data Analytics located in our Rosemont, IL. office responsible for providing strategic direction for analytics, data operations, Health Economics and Outcomes Research (HEOR), and Real-World Evidence (RWE) initiatives supporting DataDerm, the American Academy of Dermatology’s clinical data registry. Responsible for ensuring high-quality, research-ready data; compliance with clinical registry specifications, data governance, and national reporting requirements; and the effective use and linkage of registry and other real-world data to support research and outcomes analysis. Direct a team responsible for advanced analytics, HEOR/RWE studies, and reporting to advance specialty-wide priorities. Collaborate across the Academy, with members, and with external stakeholders to translate DataDerm data into actionable evidence that supports the Academy’s scientific, clinical, quality, policy, and strategic goals.

 

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 at www.aad.org, or follow us on these social media outlets:

  • Facebook (www.facebook.com/aadskin)
  • TikTok (www.tiktok.com/@AADskin)
  • Pinterest (www.pinterest.com/AADskin)
  • Instagram (www.instagram.com/aadskin1) 

Responsibilities:

  • Lead and mentor team responsible for managing DataDerm 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 DataDerm 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 DataDerm 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 DataDerm data assets into scalable data products, analytics solutions, and research offerings, supporting both member value and sustainable revenue generation.
  • Serve as analytic and technical lead for DataDerm with our platform vendor; data intermediary partner; and other external stakeholders. Oversee optimization of dermatology-specific dashboards and reporting tools. Drive automation and scalability of registry data outputs. 
  • Prioritize and develop resources to assist members in utilizing DataDerm to improve patient care and outcomes, understand practice and patient-level trends, and satisfy regulatory reporting and other administrative requirements. Translate HEOR, RWE, and registry research findings into actionable insights supporting AAD’s clinical, quality, advocacy, policy, and strategic priorities, including dissemination through manuscripts, scientific presentations, reports, and other appropriate channels.

 

 

Requirements:

  • Advanced degree (e.g., MS, MPH, PhD, DrPH, PharmD, or equivalent) in health economics, health services research, epidemiology, biostatistics, public health, outcomes research, data science and analytics, or a closely related quantitative field required. 
  • Ten years of progressively responsible experience in healthcare analytics, Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), health services research, epidemiology, statistical modeling, registry research, or a related area required.
  • Minimum of 6 years of people management experience with a combination of direct supervision.
  • Understanding the environment as it relates to the development, implementation, and maintenance of clinical registries, including EHR integration, third party reporting, HIPAA compliance, etc. required. 
  • Experience working with physicians, healthcare specialty societies, and/or other relevant stakeholders required.
  • Proficiency with healthcare compliance reporting preferred.
  • Expertise in tools such as SQL, R, Python, SAS, and data visualization platforms
  • Expertise in the healthcare environment as it relates to physicians and the use of registry data for research on advancing the science of care delivery.
  • Knowledge of the national healthcare quality landscape and patient care issues within medicine. An ability to work with members on complex issues and represent the specialty when necessary. 
  • An ability to execute projects and programs under minimal supervision.
  • Must have the ability to supervise analysts and/or technical teams and work processes. 
  • Must have good organizational skills, excellent writing ability, ability to juggle multiple deadlines, and analytical and research skills. 
  • Strong verbal, written and interpersonal communication skills are necessary in order to clearly and concisely communicate with various stakeholders. Ability to produce communication pieces to summarize findings effectively as well as present complex statistical information to varying audiences.
  • Demonstrated experience designing and executing observational studies using large healthcare datasets, including clinical registries, administrative claims, EHR data, patient-reported outcomes, or linked real-world data required.
  • Strong understanding of the development, implementation, and maintenance of clinical registries and other real-world data assets, including EHR integration, claims and other data linkages, third-party reporting, data quality, HIPAA compliance, de-identification, data-use agreements, privacy, and data governance required. Experience with longitudinal healthcare data and linked datasets is strongly preferred.

 

We offer a competitive compensation plan and benefits package including medical/dental/vision/life insurance as well as a matching retirement contribution, tuition reimbursement, bonus program, pension plan, paid vacation/medical/personal days, work-life balance, recognition program and casual work environment. More information about our compensation and benefits can be reviewed on the detailed job ad on our website. 

The Academy offers a hybrid work environment; providing time in the office for in-person collaboration and the opportunity to work remotely for focus time. We are building a workplace where our employees are excited to come to work every day because of the culture that we are creating together — one of respect, transparency, and collaboration. A workplace in which we demonstrate care and commitment, celebration, community, and focused learning that contributes to the mission of advancing excellence in dermatologic care.

For immediate consideration please apply online at www.aad.org, scroll to the bottom of the page and follow the Employment link. EOE M/F/D/V

HQ

American Academy of Dermatology Rosemont, Illinois, USA Office

Rosemont, IL, United States

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