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

Nominate & Attend

Senior Principal Data Scientist

Novartis Farmacéutica
London
1 week ago
Create job alert

-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

Related Jobs

View all jobs

Senior/Principal Data Scientist - Cross Indication

Senior Principal Scientist (Study Monitor) – Preclinical Safety

Senior Clinical Data Scientist

Senior Principal Scientist, Biologics AI Innovation

Senior/ Principal Scientist, Immunology and Pharmacology

(Associate) Principal Scientist - Antibody Engineering

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.

10 Biotechnology Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

The UK’s biotech boom—fueled by the £650 million Life Sciences Vision Fund and rapid mRNA, cell & gene‑therapy adoption—continues to outpace talent supply. Lightcast reported +45 % year‑on‑year growth in UK adverts mentioning “CRISPR”, “GMP bioprocess” or “cell therapy” during Q1 2025. Yet only about 25,000 specialised biotech professionals work nationwide, while monthly live vacancies average 1,800–2,100. All data verified 22 July 2025; re‑audit quarterly for freshness.. Specialist recruiters remain critical for tapping stealth roles, benchmarking salaries and streamlining the lab‑tour interview gauntlet. We reviewed 60 + consultancies and kept only agencies with: A registered UK head office (Companies House). A dedicated Biotechnology / Life‑Sciences practice. At least five UK biotech roles advertised between March and June 2025. Below you’ll find a hiring‑landscape snapshot, a quick directory of 10 vetted agencies, salary medians, in‑demand skills, interview expectations, FAQs and next steps—mirroring our AI and quantum guides.

Biotech Jobs Skills Radar 2026: Emerging Tools, Platforms & Technologies to Learn Now

The UK biotechnology sector is entering a new era—fuelled by AI integration, synthetic biology, and next-gen diagnostics. With biotech investment breaking records and a surge in demand for skilled talent across R&D, biomanufacturing, and regulatory fields, it’s vital for job seekers to future-proof their skillsets. Welcome to the Biotech Jobs Skills Radar 2026—a forward-looking guide to the emerging tools, lab techniques, platforms, and digital skills driving hiring in the UK's biotechnology industry. This radar is updated annually to help students, researchers, and transitioning professionals stay competitive in a fast-changing landscape.

How to Find Hidden Biotechnology Jobs in the UK Using Professional Bodies like the RSB, BIA, BioIndustry Association & More

The UK biotechnology sector is thriving. From cutting-edge gene therapies and synthetic biology to bio-manufacturing and agricultural innovation, the demand for skilled biotech professionals continues to grow. Yet many of the best opportunities—particularly in early-stage companies, startups, and research-intensive roles—are never listed on conventional job boards. So where do these hidden biotech jobs live? Often, they’re shared through word-of-mouth, member networks, or professional communities—especially those associated with leading biotech institutions and associations. Whether you’re a graduate looking for your first role, a research scientist ready to move into industry, or a regulatory professional seeking your next challenge, joining the right professional bodies can give you exclusive access to job leads, collaborations, and insider opportunities. In this article, we’ll show you how to strategically leverage UK-based organisations such as the Royal Society of Biology (RSB), BioIndustry Association (BIA), and Biotech and Life Sciences Networks to uncover hidden jobs and build a long-term, sustainable career in biotechnology.