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

Nominate & Attend

Principal Clinical Data Science Lead

Pharmaceutical Research Associates, Inc
London
1 week ago
Create job alert

Overview

As a Principal Clinical Data Science Lead, you will join the world’s largest & most comprehensive clinical research organization, powered by healthcare intelligence. In this role, you will oversee all aspects of clinical data management for assigned trials, ensuring data integrity, regulatory compliance, and timely deliverables. The role involves collaboration with cross-functional teams, internal departments, and vendors. You will ensure the accuracy and completeness of clinical data for regulatory submissions and support process improvements.
Responsibilities

What you will be doing:
Lead and align data management expectations with CROs, clinical study teams, and stakeholders.
Oversee outsourced data management deliverables according to scope and trial oversight plans.
Ensure timely creation and quality of essential documents (e.g., DMPs, UAT plans, archival packages).
Monitor trial progress against project plans, KPIs, and budgets; make adjustments as needed.
Develop and manage Data Release Plans in line with blinding rules and stakeholder input.
Perform quality control checks for data completeness and accuracy.
Contribute to departmental process improvements and support audits and inspections.
Qualifications

You are:
Bachelor’s or Master’s Degree in Life Sciences, Pharmacy, Mathematics, or related field, or equivalent experience.
Proven experience in Clinical Data Management, including managing CROs and vendors.
Strong knowledge of GCP, CDISC (CDASH, SDTM, ADaM), FDA, and ICH guidelines.
Proficient with clinical study tools (eCRF systems, study progress tracking, metadata repositories).
Excellent attention to detail and analytical problem-solving skills.
Strong interpersonal and communication skills; effective in team and independent settings.
Experience in autoimmune and/or orphan disease trials is a plus.
What ICON can offer you:

Our success depends on the quality of our people. That’s why we’ve prioritized building a diverse culture that rewards high performance and nurtures talent. In addition to a competitive salary, ICON offers a range of benefits focused on well-being and work-life balance, including:
Various annual leave entitlements
Health insurance options for you and your family
Retirement planning offerings to maximize savings
Global Employee Assistance Programme, TELUS Health, providing 24-hour support from over 80,000 professionals
Life assurance
Flexible country-specific benefits, such as childcare vouchers, bike schemes, gym discounts, travel passes, and health assessments
Visit our careers website to learn more about working at ICON:https://careers.iconplc.com/benefits. ICON is committed to inclusion and diversity, providing an accessible environment for all candidates. We ensure equal consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you need a reasonable accommodation during the application process or to perform job functions, please let us know through the provided form:https://careers.iconplc.com/reasonable-accommodations. We encourage you to apply even if you’re unsure if you meet all requirements—your skills may be exactly what we’re looking for.

#J-18808-Ljbffr

Related Jobs

View all jobs

Principle Biostatistician

Principle Biostatistician

Principle Biostatistician

Principle Biostatistician

Principle Biostatistician

Principle Biostatistician

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.