Principal, AI Data Science

Jazz Pharmaceuticals
London, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Faculty AI London, United Kingdom
Hybrid

Principal Research Scientist - AI Safety

Faculty AI London, United Kingdom
Hybrid

Principal Machine Learning Engineer

Faculty AI London, United Kingdom
£100,000 – £150,000 pa Hybrid

Principal Machine Learning Engineer

PhysicsX United Kingdom

Principal Software Architect, GPU Networking Research

NVIDIA Switzerland

Principal Software Architect, GPU Networking Research

Posted
20 Mar 2026 (Last month)

If you are a current Jazz employee please apply via the Internal Career site.

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to

transform the lives of patients and their families. We are dedicated to developing

life-changing medicines for people with serious diseases — often with limited or no

therapeutic options. We have a diverse portfolio of marketed medicines, including leading

therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments.

Our patient-focused and science-driven approach powers pioneering research and development

advancements across our robust pipeline of innovative therapeutics in oncology and

neuroscience. Jazz is headquartered in Dublin, Ireland with research and development

laboratories, manufacturing facilities and employees in multiple countries committed to

serving patients worldwide. Please visit

for more information.

Essential Functions

• Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build.

• Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.

• Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement.

• Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies.

• Ensuring compliance with regulatory requirements and data privacy standards.

Required Knowledge, Skills and Abilities

• Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow).

• Demonstrated experience with generative AI technologies, including LLM architectures and frameworks.

• Knowledge/experience with digital healthcare tools design and development

• Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation.

• Demonstrated ability to build relationships with stakeholders and subject matter experts.

•Familiarity with high compute cloud-based platforms and services, in particular AWS.

•Familiarity with code version control and MLOps deployment approaches.

Required/Preferred Education and Licenses

•Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field

•3 – 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data.

•Experience in healthcare/AI implementation in healthcare field is a plus.

•Knowledge of digital healthcare tools design and development

#LI-Remote

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.