The Clinical Data Analyst (CDA) is a midlevel 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 stakeholders.
Gather requirements from a crossfunctional group to a particular study question or operational activity; build & configure solution to meet the requirements.
Lead validation activities to prepare reporting solutions for release/usage.
Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports and maintain ongoing updates to standard report templates.
Support training for the Data Sciences team of new standard reports/solutions.
StudySpecific Reporting Deployment
Create & develop ad hoc reporting and/or analysis solutions report dashboard visualization or other as requested by study team members.
Deploy standard reporting solutions for use on a studyspecific basis.
Gather requirements from study team member(s) for ad hoc solutions; build & configure ad hoc solutions to meet the requirements.
Support report requestor in validation activities of studyspecific ad hoc solutions to prepare for release/usage.
Support longterm maintenance of studyspecific solutions and contribute to investigating issues as raised by study team members.
Department Operational and Performance Analysis
Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
Design build and maintain metrics governance within Data Sciences.
Work 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 leadership.
Technical 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 technologies.
Act as a technical system subject matter expert; perform validation and testing of systems.
Help gather and determine requirements for relevant technical systems with crossfunctional 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 excellence.
Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
Support Data Sciences contribution to a Data Warehouse contributing to key decisions and strategy.
While evaluating new projects or requests for enhancements help determine the project cost timeline goals and feasibility and support the project through completion
Skills and Qualifications
At minimum: Undergraduate degree (Bachelor/Honours Bachelor) with 23 years relevant experience; experience or exposure to clinical trials required
Required:
Experience with data visualizations and data visualization tools
Prior experience in an analyst report development or business intelligence (BI) roles
Preferred:
Excellent communication skills and continuous improvement mindset
Experience with PowerBI Tableau Spotfire etc.
Experience with data transformations (ETL: Extract Transform Load)
Experience in programming in R SAS SQL Python etc.
Experience with SAS (SAS Visual Statistics SAS Visual Analytics or SAS VIYA)
$86500 $144000 a year
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