Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Principal Data Scientist (Basé à London)

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Machine Learning Platform

Principal Naval Architect

Principal Naval Architect

Principal Naval Architect

Principal Naval Architect

Principal Naval Architect

-Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience.

About the Role

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives.

To do this, we are optimizing and strengthening our processes and ways of working.

We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

Apply today and welcome to where we thrive together!

The Role

As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners.

This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.

Key Accountabilities:

  1. You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.
  2. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.
  3. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.

Your Experience

  1. Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).
  2. More than 3 years experience in clinical drug development with extensive exposure to clinical trials.
  3. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
  4. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
  5. Excellent interpersonal and communication skills (verbal and writing).
  6. Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Why Novartis:Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

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.


#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.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.