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

Apply Now

Senior Principal Data Scientist

Novartis
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist

Senior Principal Data Scientist

Senior Principal Data Scientist - Remote

Senior Principal Data Scientist - Remote

Principal Data Scientist

Executive Director / Principal Data Scientist

Join to apply for the Senior Principal Data Scientist role at Novartis.

Get AI-powered advice on this job and more exclusive features.

Responsibilities

  • Understand complex business problems and formulate analytical approaches using statistical methods and machine learning algorithms to solve unmet medical needs, discover insights, and automate processes.
  • Manage the data lifecycle, ensuring data quality, availability, and compliance across enterprise systems.
  • Translate findings into business impact through presentations, visualizations, and storytelling.
  • Manage budgets, staffing, and project coordination. If managing a team, provide guidance, coaching, and supervision, typically as a first-time people manager.

About The Role

As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will work on data science methodologies applied to patient-level data across clinical development, collaborating internally and externally to support drug development decisions. This role offers a hybrid work model, with 3 days per week in our London Office.

Key Accountabilities

  • Plan, execute, interpret, validate, and communicate exploratory analyses and algorithms to facilitate decision-making.
  • Provide expertise in data science and AI to influence internal decisions and contribute to white papers/regulatory discussions.
  • Analyze clinical trial and real-world data to generate evidence for drug development.

Your Experience

  • Ph.D. in data science, biostatistics, or related field.
  • Over 3 years of experience in clinical drug development and clinical trials.
  • Strong knowledge of statistical methods and programming in R and Python.
  • Excellent communication skills and ability to present findings clearly.

Why Novartis

We are committed to reimagining medicine to improve lives, investing in new technologies, and building a diverse, inclusive team. Join us to help give patients a brighter future.

Additional Information

This role is based in London with hybrid working. For more details and to apply, visit our careers page or sign up for our talent network.

Note: This job posting is active and not expired.


#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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.