American Academy of Physician Associates
Posted 23 days agoVerified live 2d ago
Research Data Manager
Brief overview
Remote
UndergradOr in progress
$68k–$75k/yrStated range
3+ yrsMinimum
Data ManagementRelational DatabasesData Cleaning and ValidationSurvey ProgrammingQualtricsREDCapHTMLJavaScriptData PipelinesSQLPythonRPower BITableauPublic Health/Federal DatasetsCRM/AMS Platforms
About the company
American Academy of Physician Associatesaapa.org
The American Academy of Physician Associates (AAPA) is the only national professional association that represents all PAs across all medical settings and specialties in all 50 states, the District of Columbia, U.S.
Job description
Summary
The American Academy of Physician Associates is seeking a Research Data Manager to build, maintain, and improve the data infrastructure supporting its research operations. The role manages data quality, governance, survey programming, external data acquisition, automated pipelines, reporting environments, and collaboration with internal systems teams.
Responsibilities
- Build and maintain data cleaning, validation, and transformation workflows; run routine quality checks and resolve discrepancies
- Manage organization, storage, and archiving of research data across Academy systems (shared network drives, M365 SharePoint, cloud platforms), structured for efficient retrieval and long-term preservation
- Support data governance: security policies, privacy regulations (e.g., GDPR where applicable), data-sharing agreements, access permissions, and data-use tracking
- Lead technical programming and testing of survey instruments — logic, branching, embedded data, display logic, quotas, distribution — ensuring cross-device functionality and accessibility compliance
- Program complex surveys in Qualtrics or comparable platforms using branching/display logic, embedded data, quotas, custom validation, and custom code (HTML, JavaScript) to optimize the participant experience
- Identify, acquire, and integrate public and purchased datasets (e.g., NPDB, CMS, BLS, HRSA, AHA); document sources, licensing terms, and update schedules
- Build automated/semi-automated data pipelines (R, Python, SQL, or similar) to reduce manual processing and speed data delivery to analysts
- Design and maintain end-to-end pipelines that extract, clean, validate, and load survey/research data into enterprise reporting environments supporting automated dashboards in Power BI, Tableau, and similar BI tools
- Serve as primary liaison between Research and internal systems teams (e.g., Aptify/CRM admins, IT) for data extracts, imports, field mapping, and troubleshooting
Skills
- Strong data management skills: relational databases, flat-file management, data cleaning/validation
- Advanced survey programming (Qualtrics, REDCap, or a comparable platform), including complex logic, branching, display logic, embedded data, quotas, custom validation, and HTML/JavaScript customization
- Proven ability to design and maintain end-to-end data pipelines (SQL, Python, R) for research/survey data
- Familiarity with public health/federal datasets (NPDB, CMS, BLS, HRSA) and integrating external sources into research workflows
- Strong documentation skills (SOPs, data dictionaries, codebooks)
- Ability to translate technical concepts for non-technical colleagues; collaborate effectively in a small research team
- Proven ability to manage multiple time-sensitive projects
- Bachelor's degree in information science, data management, computer science, public health, social science, or a related field required
- 3+ years of experience in research data management, data engineering, database administration, or a closely related technical role
- Experience supporting Power BI, Tableau, or similar BI dashboards strongly preferred
- Master's degree preferred
- Healthcare or association experience preferred
- Experience working with CRM/AMS platforms (e.g., Aptify, Salesforce) desired but not required
Qualifications
Must Haves
- Strong data management skills: relational databases, flat-file management, data cleaning/validation
- Advanced survey programming (Qualtrics, REDCap, or a comparable platform), including complex logic, branching, display logic, embedded data, quotas, custom validation, and HTML/JavaScript customization
- Proven ability to design and maintain end-to-end data pipelines (SQL, Python, R) for research/survey data
- Familiarity with public health/federal datasets (NPDB, CMS, BLS, HRSA) and integrating external sources into research workflows
- Strong documentation skills (SOPs, data dictionaries, codebooks)
- Ability to translate technical concepts for non-technical colleagues; collaborate effectively in a small research team
- Proven ability to manage multiple time-sensitive projects
- Bachelor's degree in information science, data management, computer science, public health, social science, or a related field required
- 3+ years of experience in research data management, data engineering, database administration, or a closely related technical role
Nice to Haves
- experience supporting Power BI, Tableau, or similar BI dashboards strongly preferred
- Master's degree preferred
- healthcare or association experience preferred
- Experience working with CRM/AMS platforms (e.g., Aptify, Salesforce) desired but not required
More jobs like this
