Data Analyst 3

Join the University of Miami/UHealth Department of Public Health as a Data Analyst 3 (full-time, hybrid in Miami, FL) and help advance complex research data systems used across longitudinal, multi-site epidemiologic and clinical studies. This senior role centers on advanced REDCap and related research informatics technologies, with opportunities to build analysis-ready datasets, improve data quality, and support investigators and research teams. You will also contribute to a strong benefits package, including medical, dental, tuition remission, and more.

Responsibilities

• Perform advanced data analysis using techniques such as statistical analysis, explanatory and predictive modeling, and data mining.
• Apply best practices to generate actionable insights and recommendations that improve current business operations and research data workflows.
• Conduct ad-hoc analyses and reporting, including building dashboards and reporting systems for end users and developing predictive modeling or other data-mining capabilities.
• Design and develop complex databases and dashboards data to optimize statistical efficiency and quality.
• Provide advanced interpretation of complex datasets by identifying trends and patterns, and handle special analytical projects as needed.
• Support and train staff on data management and data use.
• Identify process improvement opportunities to enhance data collection, quality, and accessibility.
• Develop and implement systems to capture information related to business operations.
• Serve as a subject matter expert and advise less experienced analysts.
• Define data elements and establish policies and procedures for the collection, accuracy, quality, security, and maintenance of data, while adhering to University and unit-level safeguards.
• Act as the principal REDCap subject matter expert for assigned research programs, providing advanced consultation on REDCap architecture, functionality, data management, and research workflows.
• Design, develop, test, implement, and maintain complex REDCap projects for longitudinal, multi-arm, multi-site, repeated-measures, observational, and interventional research studies.
• Build 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.
• Develop and maintain REDCap API integrations and automated workflows for secure data exchange between REDCap and authorized external systems.
• Use R and/or Python to interact programmatically with REDCap APIs, automate extraction and transformation, validate and perform quality control, create reproducible pipelines, and prepare datasets for statistical analysis.
• Develop and support MyCap projects and REDCap Mobile App workflows, including participant-facing tasks, questionnaires, scheduled assessments, notifications, synchronization, deployment, quality assurance, and troubleshooting.
• Create electronic case report forms, participant tracking systems, screening tools, recruitment and retention databases, and other electronic research instruments.
• Develop and maintain data dictionaries, metadata, codebooks, SOPs, technical documentation, system specifications, and data-management documentation.
• Conduct advanced quality assurance and quality-control activities to detect and resolve missing, inconsistent, duplicate, implausible, or problematic data.
• Integrate data across multiple sources, including REDCap, MyCap, mobile applications, wearable devices, environmental monitoring instruments, laboratory systems, biospecimen repositories, administrative datasets, and external research databases.
• Design automated pipelines to support secure transfer, transformation, harmonization, and preparation of research data.
• Prepare analysis-ready datasets and collaborate with investigators and biostatisticians on variable definitions, derived analytic measures, longitudinal structures, and documentation of data transformations.
• Build decision-support products such as dashboards, automated reports, recruitment and retention reports, data-quality reports, and study monitoring tools.
• Support research data harmonization across multiple studies, including standardized variables, naming conventions, coding practices, and reusable data structures when appropriate.
• Establish and maintain REDCap roles, data access groups, permissions, authentication procedures, and data-security configurations consistent with institutional and study requirements.
• Ensure systems align with approved protocols, IRB requirements, HIPAA requirements when applicable, data-use agreements, and human-subjects protections.
• Troubleshoot complex REDCap, MyCap, API, mobile, and data-management issues, escalating with institutional REDCap administrators and IT personnel when required.
• Evaluate emerging REDCap functionality, external modules, APIs, research data technologies, and analytic tools, and recommend improvements to quality, efficiency, scalability, and reproducibility.
• Develop reusable functions, scripts, templates, and automated workflows to standardize research data-management activities.
• Participate in study planning by advising research teams on data architecture, electronic data capture, participant-facing technology, study workflows, data integration, and analytic feasibility.
• Support scholarly work including manuscripts, abstracts, presentations, grant applications, progress reports, and other products through data management, analysis, visualization, and interpretation.
• Maintain version-controlled code and appropriate documentation to support reproducibility and transparency.
• Perform other data analysis, programming, research informatics, and research data-management duties as assigned.

Requirements

• Bachelor’s degree in data science, computer science, information systems, biostatistics, bioinformatics, public health, epidemiology, health informatics, statistics, mathematics, or a related field. Preferred: Master’s degree in a related quantitative discipline such as data science, biostatistics, epidemiology, public health, health informatics, computer science, bioinformatics, or statistics.
• Minimum five years of relevant experience in research data management, data analysis, research informatics, clinical or epidemiologic research, database development, or related work.
• Extensive experience designing, developing, and maintaining REDCap projects for complex research studies.
• Advanced experience with longitudinal REDCap projects including multiple arms, repeated events and instruments, automated survey invitations, alerts and notifications, branching logic, calculations, action tags, participant tracking, and complex study workflows.
• Demonstrated experience developing and using the REDCap API.
• Demonstrated experience programming automated REDCap data extraction, transformation, validation, or integration workflows.
• Demonstrated experience with R and/or Python for data management, automation, analysis, or research computing.
• Demonstrated experience with MyCap, including configuration and deployment of participant-facing longitudinal research activities.
• Demonstrated experience with the REDCap Mobile App, including field deployment, offline data collection, synchronization, and troubleshooting.
• Experience managing complex longitudinal research datasets and preparing analysis-ready datasets.
• Experience supporting research involving multiple study arms, time points, sites, populations, and/or data sources.
• Learning agility, teamwork, and strong communication skills for written and verbal interaction with colleagues and stakeholders.
• Technical proficiency with office software, technology, and relevant computer applications.
• No specific professional license required; REDCap training, certification, or documented advanced REDCap development experience preferred.
• Advanced knowledge of REDCap architecture and functionality, and of longitudinal and repeated-measures database design.
• Ability to develop and troubleshoot RESTful API-based workflows, including REDCap API integrations.
• Strong understanding of research data structures, relational data concepts, metadata, data dictionaries, and data-management principles.
• Ability to translate research protocols into efficient, scalable, and maintainable electronic data-capture systems.
• Ability to manage and integrate complex data from multiple sources, study visits, participant groups, and research projects.
• Knowledge of reproducible data-management and programming practices; strong analytical and problem-solving skills.
• Strong attention to data quality, accuracy, privacy, confidentiality, security, and reproducibility.

Technologies

• REDCap, REDCap Mobile App, MyCap
• R, Python
• REDCap APIs, APIs
• Tableau, Power BI
• Git
• RESTful API-based workflows

Benefits

• Competitive salaries
• Comprehensive benefits package including medical, dental, tuition remission and more