Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Clinical Data Scientist

IQVIA
Cambridge
2 days ago
Create job alert

Join to apply for the Statistical Programming role at IQVIA.

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. In this role, you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements.

Responsibilities
  • Develop internal and external R packages for clinical trial analysis (ADaM, tables, figures, listings).
  • Validate R packages.
  • Lead implementation in R and train other Biostatistics team members.
  • Conduct statistical programming work of clinical data using R.
  • Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group.
  • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF).
  • Collaborate with peers and statisticians to ensure the quality and accuracy – thus submission readiness – of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml).
Qualifications
  • Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry.
  • Strong programming skills in R and R Shiny.
  • Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R.
  • Strong skills in data visualization and data wrangling using R. Proficiency in using R packages for data exploration and visualization.
  • Application of statistical methodology and concepts in clinical trial analysis. Experience with R-Shiny apps for data exploration.
  • Advanced knowledge of industry standards including CDISC data structures and a solid understanding of the development and use of standard programs.
  • In-depth understanding of the phases of clinical trials and the drug development process.
  • Exposure to Late Phase & Real-World Evidence (RWE) studies is highly desirable.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.

We aim to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.


#J-18808-Ljbffr

Related Jobs

View all jobs

Clinical Data Scientist

Clinical Data Science Programmer

Senior Principal Data Scientist

Senior Principal Data Scientist

Lead Data Science Researcher

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.