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

Apply Now

Principal, AI Data Scientist (Remote)

ZipRecruiter
Oxford
2 days ago
Create job alert
Overview

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 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 more information.


Principal, AI Data Scientist


The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development.


Responsibilities

  • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including 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 including medical reports, clinical study reports, protocols and patient narratives.
  • Support the development and implementation of Digital Healthcare applications for medical and scientific tools, real-world evidence (RWE) new ways of generating real data, patients’ engagement.
  • Support the design and development of 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, and phase IV studies.
  • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patient working groups to tackle business challenges and bring value of AI-driven solutions.
  • Ensure compliance with regulatory requirements and data privacy standards.
  • Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development.

Qualifications

  • Strong programming skills in Python, R, or similar, 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, 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.
  • Ability to understand healthcare challenges and adapt AI solutions accordingly.
  • Cross-function adaptability to meet cross-organization goals.

Education

  • 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 in digital healthcare tools design and development

Physical Demands

  • Occasional mobility within office environment
  • Routinely sitting for extended periods of time
  • Constantly operating a computer, printer, telephone and other similar office machinery

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to sex, race, color, religion, 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 medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our benefits offerings please refer to our benefits page.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal, AI Data Scientist-1 (Remote)

Principal, AI Data Scientist (Remote)

Principal, AI Data Scientist (Remote)

Principal, AI Data Scientist-1 (Remote)

Principal, AI Data Scientist (Remote)

Principal, AI Data Scientist (Remote)

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.