Clinical Data Visualization & Reporting Analyst

Meet Life Sciences
Glasgow
3 days ago
Create job alert

About the Role


We are seeking aClinical Data Visualization & Reporting Analystto 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

Depending 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).


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

Related Jobs

View all jobs

Clinical Data Visualization & Reporting Analyst

[High Salary] Associate Director Data Science...

Senior Data Scientist

Senior Data Analyst - RELOCATION TO ABU DHABI

Senior Data Analyst - RELOCATION TO ABU DHABI

Senior Data Analyst - RELOCATION TO ABU DHABI

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.