Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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).
- 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
- 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.
- 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 discussions on platforms like LinkedIn can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 3
Brush up on your SQL skills, as this is crucial for data management and querying. Consider working on small projects or datasets to demonstrate your ability to manipulate and extract meaningful insights from clinical data.
✨Tip Number 4
Prepare to discuss your analytical and problem-solving skills during the interview. Think of specific examples where you've successfully tackled complex data challenges, as this will showcase your fit for the role.
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 that align with these requirements.
Highlight Relevant Skills: Emphasise your experience with visualization tools like Tibco Spotfire, Tableau, or Power BI, as well as your knowledge of SQL and clinical data. Provide specific examples of how you've used these skills in previous roles or projects.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your analytical abilities and problem-solving skills. Mention your familiarity with clinical trial processes and how you can contribute to data-driven decision-making within the company.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at Meet Life Sciences
✨Know Your Tools
Familiarise yourself with the key visualization tools mentioned in the job description, such as Tibco Spotfire, Tableau, and Power BI. Be prepared to discuss your experience with these tools and how you've used them to create impactful reports or dashboards.
✨Understand Clinical Data
Brush up on your knowledge of clinical data and reporting standards like SDTM and CDISC. Being able to demonstrate your understanding of these concepts will show that you are well-prepared for the role and can contribute effectively from day one.
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with different stakeholders in the past. Highlight your communication skills and ability to translate business needs into technical solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Think of specific challenges you've faced in previous roles and how you approached them, particularly in relation to data visualisation and reporting in a clinical context.
