Alimentiv

Clinical Data Analyst - Imaging

Job Description

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 stakeholders.
  • Gather requirements from a cross-functional 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.

    • Study-Specific 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 study-specific 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 study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific 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 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 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 2-3 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)

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