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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 environment.
- Why this job: Make a real impact in healthcare while developing your analytical skills in a dynamic team.
- 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
Clinical Data Visualization & Reporting Analyst employer: Meet Life Sciences
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
Prepare to discuss your analytical and problem-solving skills by reviewing case studies or examples from your past experiences. Being able to articulate how you've tackled complex data challenges will demonstrate your fit for the role.
✨Tip Number 4
Stay updated on the latest trends and technologies in clinical data analytics. Showing that you're proactive about learning and adapting to new tools can impress potential employers and set you apart from other candidates.
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 experience working with cross-functional teams and how you can contribute to data-driven decision-making in clinical trial operations.
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
✨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 it has informed decision-making.
✨Familiarise Yourself with Key Tools
Make sure you have a good understanding of the visualization tools mentioned in the job description, such as 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 visualization within that context. Being able to speak confidently about how your work can impact clinical development will impress your interviewers.
✨Prepare for Stakeholder Collaboration Questions
Since this role involves working closely with various stakeholders, be ready to discuss how you've successfully collaborated with cross-functional teams in the past. Share specific instances where your communication skills made a difference.
