Data Analyst 3

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The University of Miami/UHealth Department of Public Health has an exciting opportunity for a full time Data Analyst 3 to work in Miami, FL.
The Department of Public Health Sciences at the University of Miami has an opportunity for a Data Analyst 3 to serve as a senior research data systems specialist supporting complex, longitudinal, multi-site, and multi-arm epidemiologic and clinical research studies. The position will support state-, federally-, and institutionally funded research programs, including large-scale occupational and environmental health studies involving firefighters and other first responder populations. The Data Analyst 3 will serve as a subject matter expert in REDCap and related research data technologies and will work closely with principal investigators, biostatisticians, epidemiologists, research coordinators, project managers, and other research personnel to design, develop, implement, and maintain sophisticated electronic data capture and research data management systems.
The position requires advanced expertise in REDCap, including longitudinal project architecture, repeated instruments and events, automated workflows, complex branching and calculated fields, survey administration, data quality procedures, user rights and security, application programming interfaces, and integration with external data sources and analytic systems. The incumbent will also have substantial experience with MyCap and the REDCap Mobile App and will support participant-facing and field-based mobile data collection. The Data Analyst 3 will use R and/or Python to develop reproducible data processing workflows, automate data extraction and transformation, interface with REDCap APIs, conduct data quality assessments, prepare complex longitudinal analytic datasets, and support research analyses and reporting. This position is eligible for a hybrid work arrangement, with remote work combined with periodic on-site meetings, project planning, training, and collaborative activities as required.
Core Job Functions:
Performs advanced data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.
Determines best practices and develops actionable insights and recommendations for the current business operations or issues.
Performs ad-hoc analyses and reporting, to aid management in the decision-making process. Builds dashboards or reporting systems for end users, and designs predictive modeling or other data mining capabilities.
Designs and develops complex databases and dashboards data to optimize statistical efficiency and quality.
Provides advanced business data interpretation, such as identifying trends or patterns of complex data sets. May handle special analytical projects as needed.
Provides support and training to applicable staff regarding data management and use.
Locate and define new process improvement opportunities; proactively identify opportunities to enhance data collection, quality and accessibility.
Develops and implements systems to capture business operation information.
Acts as a subject matter expert and advises less experienced analysts.
Locates and defines new process improvement opportunities; proactively identifies opportunities to enhance data collection, quality and accessibility.
Defines data elements and establishes policies and procedures related to the collection, accuracy, quality, security, and maintenance of data.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Department Specific Functions:
Serves as the principal REDCap subject matter expert for assigned research programs and provides advanced technical consultation regarding REDCap architecture, functionality, data management, and research workflows.
Designs, develops, tests, implements, and maintains complex REDCap projects supporting longitudinal, multi-arm, multi-site, repeated-measures, observational, and interventional research studies.
Develops sophisticated longitudinal REDCap structures, including arms, events, repeated instruments, repeating events, participant schedules, automated survey invitations, alerts and notifications, calculated fields, branching logic, action tags, and complex participant follow-up workflows.
Develops and maintains REDCap application programming interface integrations and automated workflows for secure exchange of data between REDCap and external research, analytic, laboratory, biospecimen, administrative, or other authorized systems.
Uses R and/or Python to interact programmatically with REDCap APIs, automate data extraction and transformation, perform data validation and quality-control procedures, create reproducible data pipelines, and prepare research datasets for statistical analysis.
Develops and supports MyCap projects for participant-facing longitudinal data collection, including configuration of participant tasks, questionnaires, scheduled assessments, notifications, and data synchronization with REDCap.
Develops and supports REDCap Mobile App workflows for field-based and offline research data collection and assists research teams with deployment, synchronization, quality assurance, and troubleshooting.
Designs electronic case report forms, questionnaires, surveys, participant tracking systems, screening tools, recruitment databases, retention systems, and other electronic research instruments.
Develops and maintains data dictionaries, metadata, codebooks, standard operating procedures, technical documentation, system specifications, and data-management documentation for research studies.
Conducts advanced quality assurance and quality-control activities to identify missing, inconsistent, duplicate, implausible, or otherwise problematic research data and develops automated or semi-automated procedures for detecting and resolving data-quality issues.
Develops reproducible data-management workflows for longitudinal research datasets involving multiple study visits, repeated measures, study arms, participant groups, data sources, and follow-up periods.
Integrates data from multiple research sources, which may include REDCap, MyCap, mobile applications, wearable devices, environmental monitoring instruments, laboratory systems, biospecimen repositories, administrative datasets, and external research databases.
Designs and maintains automated data pipelines to support secure and efficient transfer, transformation, harmonization, and preparation of research data.
Prepares analysis-ready datasets and works collaboratively with investigators and biostatisticians to define variables, derive analytic measures, establish longitudinal data structures, and document data transformations.
Conducts statistical programming and exploratory, descriptive, and other analyses using R and/or Python, as appropriate to project needs.
Develops dashboards, automated reports, recruitment and retention reports, data-quality reports, study monitoring tools, and other decision-support products for investigators and research teams.
Supports data harmonization across multiple studies and develops standardized variables, naming conventions, coding practices, and reusable data structures when appropriate.
Establishes and maintains appropriate REDCap user roles, data access groups, permissions, authentication procedures, and data-security configurations consistent with institutional and study requirements.
Ensures research data systems and workflows are developed and maintained in accordance with approved protocols, IRB requirements, HIPAA requirements when applicable, data-use agreements, institutional policies, and human-subjects research protections.
Provides advanced REDCap, MyCap, mobile data collection, API, and research data-management training and technical support to investigators, coordinators, analysts, students, and other research personnel.
Troubleshoots complex REDCap, MyCap, API, mobile application, and data-management issues and works with institutional REDCap administrators and other information technology personnel when escalation is required.
Evaluates emerging REDCap functionality, external modules, APIs, research data technologies, and analytic tools and recommends solutions that improve data quality, efficiency, scalability, and reproducibility.
Develops reusable programming functions, scripts, templates, and automated workflows to standardize research data-management activities across studies.
Participates in study planning and protocol development by advising research teams regarding data architecture, electronic data capture, participant-facing technology, study workflows, data integration, and analytic feasibility.
Supports preparation of manuscripts, abstracts, presentations, grant applications, progress reports, and other scholarly products through data management, analysis, visualization, and interpretation.
Advises and mentors research staff and less experienced analysts regarding REDCap development, research data management, programmin