National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Lead Clinical Data Science Programmer

Warman O'Brien
London
1 month ago
Applications closed

Related Jobs

View all jobs

Research Fellow or Senior Research Fellow in Population Health/Data Science/Genetic Epidemiology

Senior Clinical Data Analyst

The Senior Analytics Design Lead

Principal Scientist

Senior Computer Scientist

Senior / Lead Applied Data Scientist - Causal AI for Demand Forecasting.

Senior Lead Clinical Data Science Programmer

We are looking for a number of Senior Lead Clinical Data Science Programmers to join a global CRO on a permanent basis. These are fully remote roles, and candidates can be based across Europe and the UK.
The ideal candidate will have comprehensive experience of working within Data Warehouse platforms in a regulated industry, specifically within a clinical trial environment. This role demands a deep understanding of data visualization tools, scripting languages, and SDTM data structures, along with the ability to work independently on complex assignments.
Responsibilities:
Responsible to function in a continuous improvement framework with respect to systems deployment, life cycle management and enhancements supported user groups.
Participating in the optimization of user management, content management, performance management and lifecycle management related to reporting and metrics in alignment with the direction set by the team management.
Contributing to platform development facilitating Medical Monitoring Data Quality Management, Risk Based Monitoring, Integrated Reporting and Metrics to Maximize value for GD.
Working with business owners to develop and deliver reports and metrics such as, but not limited to: Medical Monitoring Visualizations, Medical safety review, data review and cleaning, measuring key performance and risk indicators, ad hoc reporting and creating reports aligned with stakeholder and business needs.
Taking leadership and mentoring role with development and delivery of reports, templates and metrics.
Qualifications:
Experience as a Business Analyst, working within Data Warehouse platforms in a regulated industry within a clinical trial environment.
In depth knowledge of Tibco Spotfire or other equivalent visualisation development tools (Power BI or Tableau).
Knowledge of SDTM data structure is essential.
In depth knowledge of Python (Pandas and PySpark), R, SAS, or other object-oriented programming languages.
Experience within life sciences industry is essential.
Ability to work independently on assignments of moderate to high complexity without support.
For a confidential discussion on this opportunity, please apply now with an updated CV.
Seniority level

Mid-Senior level
Employment type

Full-time
Job function

Analyst, Information Technology, and Other
Industries

Pharmaceutical Manufacturing and Biotechnology Research

#J-18808-Ljbffr

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.