Clinical Data Analyst

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities.  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.  Reporting Standards Management Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholdersGather requirements from a cross-functional group to a particular study question or operational activityBuild & configure solution to meet the requirementsLead validation activities to prepare reporting solutions for release/usageGather (as needed) and collaborate with volunteer stakeholder group to support validation activitiesContribute to the Data Standards Governance Committee (DSGC) for the management of standard reportsMaintain ongoing updates to standard report templatesSupport training for the Data Sciences team of new standard reports/solutionsStudy-Specific Reporting Deployment Deploy standard reporting solutions for use on a study-specific basisCreate & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team membersGather requirements from study team member(s) for ad hoc solutionsBuild & configure ad hoc solutions to meet the requirementsSupport report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usageSupport long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team membersDepartment Operational & Performance Analysis Identify requirements with Data Sciences leaders to measure & monitor operational and performance metricsDesign, build, and maintain metrics governance within Data SciencesWork with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadershipTechnical Systems Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologiesAct as a technical system subject matter expert; perform validation and testing of systemsHelp gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellenceAssess ways to further leverage existing systems to optimize internal efficiencies and processesSupport Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategyWhile evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completionQualifications Minimum of a Bachelor's degree + 4-6 years of related experienceStrong analytical skillsVisual design and aesthetic sense to produce appealing and intuitive outputsProficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)Skilled data storyteller to communicate complex information in clear and effective mannerStrong collaboratorPreference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)Preference to prior Clinical Research and/or Clinical Data Management experienceWorking ConditionHome-basedWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.+ bonus