Clinical Data Visualization & Reporting Analyst

JR United Kingdom; York; On-site; GBP 35,000 - 60,000; Full time

Job summary

A leading company in life sciences is seeking a Clinical Data Visualization & Reporting Analyst in York to support critical functions in clinical trial operations. The role involves developing reports and dashboards for medical monitoring and data quality management, requiring analytical skills and proficiency in visualization tools.

Qualifications

• Entry-level candidates need some experience with clinical data and reporting tools.
• Advanced candidates should have strong experience in data visualization within clinical trials.
• Expert candidates must have deep expertise in data analytics and project leadership.

Responsibilities

• Develop dashboards for medical safety review and risk-based monitoring.
• Collaborate with stakeholders to translate needs into technical solutions.
• Mentor junior team members in reporting development.

Skills

Analytical skills

Problem-solving skills

Communication

Stakeholder management

Education

Bachelor's degree in a technical field

Tools

Tibco Spotfire

Tableau

Power BI

SQL

ETL pipelines

Job description

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Clinical Data Visualization & Reporting Analyst, york

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Client:

Meet Life Sciences

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

About the Role

We are seeking a Clinical Data Visualization & Reporting Analyst to support critical functions in clinical trial operations. This role contributes to data-driven decision-making by developing advanced reports and dashboards for medical monitoring, safety review, data quality management, and other cross-functional business needs.

The ideal candidate will be analytical, detail-oriented, and comfortable working with clinical data and visualization tools. You’ll partner closely with cross-functional stakeholders—including Clinical Operations, Data Management, Medical Affairs, and IT—to create impactful visualizations that support clinical development activities.

Responsibilities

Depending on experience level (Entry through Expert), responsibilities may include:

• Developing dashboards and reports for medical safety review, risk-based monitoring, biomarker evaluation, and other clinical trial activities.
• Collaborating with internal stakeholders to translate business needs into technical solutions.
• Supporting integrated reporting and metrics development aligned with clinical and strategic goals.
• Participating in lifecycle and change management of analytics platforms.
• Contributing to system and performance optimizations.
• Mentoring junior team members and leading reporting development (advanced/expert levels only).

Key Tools & Technologies

• Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView
• Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW)
• Collaboration & Platforms: SharePoint, clinical trial data platforms

Qualifications

Entry Level:

• Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences, or Statistics).
• Some experience with clinical data and reporting tools in a regulated environment.

Base Level (1–3 years):

• Experience in a clinical trial or regulated industry environment.
• Working knowledge of visualization tools and SQL.
• Familiarity with SDTM or other clinical data models preferred.

Advanced Level (4+ years):

• Strong experience in data visualization within clinical trials.
• Advanced skills in reporting tools and scripting languages.
• Ability to independently manage complex reporting tasks.

Expert Level (6+ years):

• Deep expertise in data analytics and clinical reporting.
• Proven ability to lead projects and mentor teams.
• Familiarity with CDISC standards and advanced reporting infrastructure.

Desired Competencies

• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Experience working in a matrixed, cross-functional team
• Ability to manage multiple priorities in a fast-paced environment