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- Tasks: Create impactful dashboards and reports for clinical trial operations.
- Company: Join a dynamic team focused on data-driven decision-making in healthcare.
- Benefits: Enjoy flexible work options, mentorship opportunities, and a collaborative culture.
- Why this job: Make a real impact in clinical development while honing your analytical skills.
- Qualifications: Bachelor's degree required; experience with clinical data and reporting tools preferred.
- Other info: Opportunities for growth from entry to expert levels 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
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 in detail. Think of specific examples where you've successfully tackled complex data challenges, as this will showcase your fit for the role and your ability to contribute to data-driven decision-making.
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 data visualization tools like Tibco Spotfire, Tableau, or Power BI, as well as your proficiency in SQL and any scripting languages. Provide specific examples of how you've used these skills in previous roles.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also demonstrates your passion for clinical data analysis and reporting. Mention how your analytical skills and attention to detail can contribute to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Meet Life Sciences
✨Showcase Your Analytical Skills
As a Clinical Data Visualization & Reporting Analyst, your analytical abilities are crucial. Be prepared to discuss specific examples of how you've used data to drive decision-making in previous roles. Highlight any experience you have with clinical data and how it has shaped your approach to problem-solving.
✨Familiarise Yourself with Key Tools
Make sure you know the ins and outs of the visualization tools mentioned in the job description, such as Tibco Spotfire, Tableau, or Power BI. If you have experience with SQL or scripting languages like R or SAS, be ready to discuss how you've applied these skills in real-world scenarios.
✨Understand Cross-Functional Collaboration
This role requires working closely with various stakeholders. Prepare to talk about your experience collaborating with teams from different functions, such as Clinical Operations or IT. Share examples of how you translated business needs into technical solutions that benefited the entire team.
✨Demonstrate Your Communication Skills
Effective communication is key in this role. Be ready to explain complex data concepts in simple terms, as you may need to present your findings to non-technical stakeholders. Practice articulating your thoughts clearly and concisely to make a strong impression during the interview.
