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

Nominate & Attend

Principal Clinical Data Scientist

Novartis
united kingdom
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist

Principal Applied Data Scientist

Principal Applied Data Scientist

Principal Software Engineer

Principal Software Engineer

Principal Machine Learning Engineer

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

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.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.