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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.
ResponsibilitiesDepending 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).
- 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 querying and management. Consider working on small projects or exercises that involve SQL to demonstrate your capability in handling clinical data.
✨Tip Number 4
Prepare to discuss your analytical and problem-solving skills during the interview. Think of specific examples from your past experiences where you 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 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 like Tableau or Power BI, and SQL. Provide specific examples of how you've used these skills in previous roles or projects.
Showcase Analytical Skills: Since the role requires strong analytical and problem-solving skills, include examples in your application that demonstrate your ability to analyse data and create impactful visualisations. This could be through past projects or coursework.
Tailor Your Cover Letter: Craft a personalised cover letter that addresses the key competencies mentioned in the job description. Discuss your passion for clinical data and how your background makes you a great fit for the team at StudySmarter.
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 speak confidently about these concepts will demonstrate your readiness for the role and your ability to 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 your 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, particularly related to data visualisation or reporting, and how you overcame them. This will showcase your critical thinking skills and adaptability.
