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 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

Maintain ongoing updates to standard report templates

Support training for the Data Sciences team of new standard reports/solutions

Study-Specific Reporting Deployment

Deploy standard reporting solutions for use on a study-specific basis

Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members

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 & 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 then support the project through completion

Qualifications

Minimum of a Bachelor's degree + 4-6 years of related experience

Strong analytical skills

Visual design and aesthetic sense to produce appealing and intuitive outputs

Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)

Skilled data storyteller to communicate complex information in clear and effective manner

Strong collaborator

Preference 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 experience

Working Condition

Home-based

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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