Company
Clinical Services - Data Sciences - Data Sciences
ClinicalDataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Clinical Data Analyst. Skills: Data reporting, Analytics capabilities. Lead creation of reporting solutions. Gather requirements”
What You'll Achieve.
Enhancing clinical study data reporting; Enhancing analytics capabilities; Summarizing clinical study data; Enabling operational quality; Enabling operational efficiency; Process improvement; Performance optimization
Industry & Context.
Process improvement; Performance optimization
What They're Looking For.
Must Have
Bachelor's degree, 4-6 years of related experience, SQL proficiency, analytical skills
Nice to Have
Certificate in data analysis, Certificate in data visualizations, Certificate in technical solutions, Prior Clinical Research experience, Prior Clinical Data Management experience, PhD preferred
What You'll Do.
Lead creation of reporting solutions
Build & configure solutions
Lead validation activities
Collaborate with stakeholders
Contribute to Data Standards Governance Committee
Maintain report templates
Deploy reporting solutions
Create ad hoc reporting solutions
Gather requirements for ad hoc solutions
Build ad hoc solutions
Support report requestor in validation
Support maintenance of solutions
Identify requirements for metrics
Design metrics governance
Build metrics governance
Maintain metrics governance
Analyze operational data
Participate in strategy
Manage data reporting systems
Integrate data reporting systems
Assess vendor systems
Integrate vendor systems
Act as technical system subject matter expert
Perform validation of systems
Perform testing of systems
Gather requirements for technical systems
Determine requirements for technical systems
Work closely with technical roles
Drive data governance
Drive data excellence
Assess systems to optimize efficiencies
Assess systems to optimize processes
Support Data Sciences contribution to Data Warehouse
Contribute to key decisions
Contribute to strategy
Determine project cost
Determine project timeline
Determine project goals
Determine project feasibility
Support project through completion
How You'll Work.
Team & Collaboration
Cross-functional group; Volunteer stakeholder group; Data Sciences team; Study team members; Data Sciences leaders; Cross-functional groups; Business/Process analysts; Technical roles
Communication Scope
Communicate complex information
Process & Methodology
Project cost determination, Project timeline determination, Project goals determination, Project feasibility determination
Full Job Description
## 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. 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.
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