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- Tasks: Create impactful dashboards and reports for clinical trial operations.
- Company: Join a leading organisation focused on data-driven decision-making in clinical trials.
- Benefits: Enjoy flexible work options, mentorship opportunities, and a collaborative culture.
- Why this job: Make a real impact in healthcare while developing your analytical skills in a dynamic environment.
- Qualifications: Bachelor's degree in a technical field; experience with clinical data preferred.
- Other info: Opportunities for growth from entry-level to expert roles available.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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)
- Scripting/Programming: Iron Python, R, R Shiny, SAS
- 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
Contact Detail:
Meet Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Visualization & Reporting Analyst
✨Tip Number 1
Familiarise yourself with the specific visualization tools mentioned in the job description, such as Tibco Spotfire, Tableau, and Power BI. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the clinical data field, especially those who work with cross-functional teams. Engaging in conversations about their experiences can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and technologies in clinical data analytics. Being knowledgeable about advancements in data management and reporting can demonstrate your commitment to the field and your ability to contribute effectively.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data visualization to solve problems or improve processes in previous roles. Real-world applications of your skills can make a strong impression during interviews.
We think you need these skills to ace Clinical Data Visualization & Reporting Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Clinical Data Visualization & Reporting Analyst position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have with clinical data, visualization tools, and reporting. Be specific about the tools you've used, such as Tibco Spotfire or Tableau, and any relevant projects you've worked on.
Showcase Analytical Skills: Since the role requires strong analytical and problem-solving skills, provide examples in your application that demonstrate your ability to analyse data and create impactful visualisations. Use metrics or outcomes to quantify your contributions where possible.
Tailor Your Application: Customise your cover letter to reflect your understanding of the company's goals and how your skills can contribute to their clinical development activities. Mention your ability to collaborate with cross-functional teams, as this is a key aspect of the role.
How to prepare for a job interview at Meet Life Sciences
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used analytical skills in previous roles. Highlight any experience you have with clinical data and how you've transformed that data into actionable insights.
✨Familiarise Yourself with Key Tools
Make sure you have a good understanding of the visualization tools mentioned in the job description, such as Tibco Spotfire, Tableau, or Power BI. If possible, bring examples of dashboards or reports you've created using these tools.
✨Understand the Clinical Trial Process
Brush up on your knowledge of clinical trials and the role of data within them. Being able to speak confidently about the clinical trial lifecycle and how data visualization fits into it will impress your interviewers.
✨Prepare for Technical Questions
Expect technical questions related to SQL, ETL processes, and scripting languages like R or SAS. Be ready to demonstrate your problem-solving abilities through practical examples or even coding challenges during the interview.
