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Clinical Data Analyst - Imaging

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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)

$86,500 - $144,000 a year

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CEO of Alimentiv

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Average salary estimate

$115250 / YEARLY (est.)

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$86500K

$144000K

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What You Should Know About Clinical Data Analyst - Imaging, Alimentiv

Join Alimentiv as a Clinical Data Analyst - Imaging, where your skills will make a real impact on clinical study data reporting and analytics! In this mid-level role, you'll be a key player in our Data Sciences department, collaborating with a diverse team to enhance data capabilities for both internal and external stakeholders. As a Clinical Data Analyst, you’ll lead the creation of a standard library of reporting solutions, gather requirements, and ensure that our data meets rigorous validation standards before release. You will also have the opportunity to develop and deploy customized reporting solutions tailored to specific study needs. Additionally, you will dive deep into operational metrics, utilizing large data sets to identify areas for improvement and optimization within our processes. Your technical know-how will play a critical role in managing and integrating data reporting systems, ensuring seamless communication across our teams. We're looking for someone with an undergraduate degree and a passion for data – whether it’s in visualization tools like PowerBI or programming languages including SQL or Python, your expertise will help us drive excellence in data governance and reporting. If you're motivated by continuous improvement and ready to support our mission at Alimentiv, this is the perfect opportunity for you!

Frequently Asked Questions (FAQs) for Clinical Data Analyst - Imaging Role at Alimentiv

What are the responsibilities of a Clinical Data Analyst at Alimentiv?

As a Clinical Data Analyst at Alimentiv, your key responsibilities will include leading the development of reporting solutions and dashboards, collaborating with cross-functional teams to gather requirements, and conducting validation activities. You'll also analyze operational metrics to identify areas for improvement, support study-specific reporting solutions, and play a vital role in our Data Standards Governance Committee.