Associate Director, AI Data Scientist in London
Associate Director, AI Data Scientist

Associate Director, AI Data Scientist in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
J

At a Glance

  • Tasks: Lead innovative AI solutions to transform clinical trials and digital healthcare.
  • Company: Jazz Pharmaceuticals, a global biopharma innovating life-changing medicines.
  • Benefits: Medical, dental, vision insurance, retirement plan, and flexible vacation.
  • Why this job: Make a real impact in healthcare with cutting-edge AI technologies.
  • Qualifications: Advanced degree in Data Science or related field; strong programming skills required.
  • Other info: Join a diverse team dedicated to improving patient lives worldwide.

The predicted salary is between 36000 - 60000 Β£ per year.

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 β€” 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.

The Associate Director, AI Data Scientist will be responsible for leading 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.

Essential Functions
  • Lead 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.
  • Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives.
  • Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement.
  • 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.
  • Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions.
  • Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field.
  • Ensuring compliance with regulatory requirements and data privacy standards.
  • Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development.
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.
  • 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 computer cloud-based platforms and services, in particular AWS.
  • Familiarity with code version control and MLOps deployment approaches.
  • Ability to understand healthcare challenges and adapt accordingly to the AI solutions.
  • Cross-functions high adaptability to meet cross organization goals.
Required/Preferred Education
  • Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field.
  • 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data.
  • Experience in healthcare/AI implementation in healthcare field is a plus.
  • Experience/Knowledge in digital healthcare tools design and development.
Description of 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 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.

Associate Director, AI Data Scientist in London employer: Jazz Pharmaceuticals

Jazz Pharmaceuticals is an exceptional employer, offering a dynamic work environment in Dublin, Ireland, where innovation meets patient care. With a strong commitment to employee growth and development, we provide opportunities to lead transformative AI solutions in healthcare while enjoying comprehensive benefits, including medical, dental, and flexible vacation options. Our collaborative culture fosters creativity and encourages knowledge sharing, making it a rewarding place for professionals passionate about making a difference in patients' lives.
J

Contact Detail:

Jazz Pharmaceuticals Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Associate Director, AI Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to current Jazz employees on LinkedIn or at industry events. A friendly chat can give us the inside scoop on the company culture and maybe even a referral!

✨Tip Number 2

Prepare for the interview by diving deep into Jazz's mission and values. We want to show how our skills align with their goal of transforming patients' lives. Tailor your examples to highlight relevant experiences in AI and healthcare.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help us articulate our thoughts clearly and confidently, especially when discussing complex AI solutions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!

We think you need these skills to ace Associate Director, AI Data Scientist in London

Python
R
Machine Learning (ML)
Generative AI
Natural Language Processing (NLP)
Predictive Modelling
Data Analysis
Cloud Computing (AWS)
MLOps
Stakeholder Engagement
Healthcare Data Understanding
Cross-Functional Collaboration
Adaptability
Digital Healthcare Tools Development

Some tips for your application 🫑

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Associate Director, AI Data Scientist role. Highlight your programming skills in Python or R, and any experience you have with AI/ML solutions in healthcare.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming lives through innovative AI solutions. Mention specific projects or experiences that demonstrate your fit for the role.

Showcase Your Collaborative Spirit: Jazz values teamwork, so be sure to mention any cross-functional projects you've worked on. Highlight how you've built relationships with stakeholders and contributed to team success in previous roles.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Jazz Pharmaceuticals

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI/ML technologies, especially generative AI and natural language processing. Be ready to discuss specific projects where you've applied these skills, particularly in healthcare settings.

✨Showcase Your Collaboration Skills

Jazz values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Highlight any experiences where you’ve collaborated with clinical operations or data science teams to tackle complex challenges.

✨Understand the Healthcare Landscape

Familiarise yourself with current healthcare challenges and how AI can address them. Being able to discuss real-world applications of your work will show that you understand the industry and can adapt your solutions accordingly.

✨Prepare for Technical Questions

Expect technical questions related to programming languages like Python or R, and frameworks like PyTorch or TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot or discuss your approach to MLOps deployment.

Associate Director, AI Data Scientist in London
Jazz Pharmaceuticals
Location: London

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

J
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>