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

Apply Now

Principal Clinical Data Scientist

Novartis
united kingdom
4 months ago
Applications closed

Related Jobs

View all jobs

Principal Systems Engineer – C&I

Principal Systems Engineer – C&I

Principal Systems Engineer – C&I

Principal Systems Engineer – C&I

Principal Systems Engineer – C&I

Principal Systems Engineer – C&I

Job Description Summary
We are seeking a Principal Data Scientist to be responsible and accountable for managing all Data Management activities using advanced data management tools and techniques with respect to cost, quality, and timelines for all assigned trials/projects within Clinical Data Acquisition and Management. The position is a key collaborator and strategic partner with stakeholders ensuring that data management activities for the clinical trials are executed efficiently with timely and high-quality deliverables (in alignment with the Novartis Clinical Data Quality Statement).

This role reports to the Director Data Management.

Job DescriptionKey Responsibilities:

  1. Lead data management activities as Trial Clinical Data Scientist for complex priority trial(s) or as a Project/Program Clinical Data Scientist for moderate complexity non-priority project(s)/program in study setup and accountable for all conduct/close out deliverables.
  2. Co-ordinate activities of Data Scientists either internally or externally. Make data management decisions and propose strategies at study or project level.
  3. Ensure alignment with the TA level data strategy as defined by the TA Data Strategy Director.
  4. Competent in relevant CDISC or other recognized industry standards and how these impact the programming team. Ensure consistency of program level standards.
  5. Provide accelerated feedback to assure well written, stable protocols and amendments aligned with Program standards and requirements.
  6. Recognize and resolve protocol issues that may impact database design, data validation, and/or analysis/reporting, minimize the data footprint to focus on the trial endpoints and ensure utilization of available data standards.
  7. Build and maintain effective working relationships with cross-functional teams, able to summarize and discuss status of deliverables and critical data management aspects (timelines, scope, resource plan), e.g. as Clinical Data Acquisition & Management representative in study- or project-level team.
  8. Review eCRF, assess the need for additional study-specific CRF, discuss data structures and review activities, and ensure project-level standardization which allows pooling.

Essential Requirements:

  1. Strong leadership, collaboration, and organizational skills with proven ability to successfully manage simultaneous trials and meet deadlines.
  2. Excellent understanding of clinical trials methodology, GCP, and medical terminology.
  3. Proven ability to interrogate and view data through various programming/GUI techniques.
  4. Must be able to anticipate challenges and risks and proactively suggest/implement solutions.
  5. Ability to work under pressure demonstrating agility through effective and innovative team leadership.
  6. Excellent interpersonal skills and proven ability to operate effectively in a global environment. Ability to influence and communicate across functions and to external stakeholders.
  7. Ideally 9+ years' experience in Drug Development with at least 8 years' in Clinical Data Management.
  8. Ability to transfer own knowledge to others. Experience as a Trial Data Scientist for several studies and some work performed at a project level.

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!

You'll receive:

You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Join our Novartis Network:

If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network.

#J-18808-Ljbffr

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 the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.