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- Tasks: Lead the development of transformative AI solutions in clinical trials and digital healthcare.
- Company: Join a pioneering company at the forefront of AI in healthcare.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on healthcare with cutting-edge AI technologies.
- Qualifications: Advanced degree in Data Science or related field and strong programming skills.
- Other info: Collaborative environment with a focus on innovation and knowledge sharing.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
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.
- 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.
- 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.
- 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.
- Ability to understand healthcare challenges and adapt accordingly 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.
- 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.
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.
Principal, AI Data Scientist (Remote) employer: Jazz Pharmaceuticals
Contact Detail:
Jazz Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal, AI Data Scientist (Remote)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and healthcare sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for AI Data Scientist roles and practice your responses. Don’t forget to have examples ready that showcase your experience with ML frameworks and generative AI technologies.
✨Tip Number 3
Showcase your projects! If you’ve worked on any AI/ML solutions, especially in healthcare, make sure to highlight them in your conversations. Bring along a portfolio or a GitHub link to demonstrate your coding skills and innovative solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. It’s a great way to ensure your application gets noticed and shows your genuine interest in joining our team.
We think you need these skills to ace Principal, AI Data Scientist (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Principal, AI Data Scientist. Highlight your experience with AI/ML solutions in healthcare and any relevant programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any projects related to AI/ML or digital healthcare, make sure to mention them! We’re interested in seeing real examples of your work, especially those that demonstrate your problem-solving skills and innovative thinking.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Jazz Pharmaceuticals
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI/ML/GenAI solutions, especially in the context of clinical trials and digital healthcare. Be ready to discuss specific projects you've worked on, particularly those involving Python, R, or modern ML frameworks like PyTorch and TensorFlow.
✨Showcase Your Collaboration Skills
This role involves working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated with others. Highlight your ability to build relationships with stakeholders and subject matter experts, as this will be crucial for tackling business challenges.
✨Demonstrate Your Problem-Solving Abilities
Think of scenarios where you've had to adapt AI solutions to meet healthcare challenges. Be ready to discuss how you approached these problems, the tools you used, and the outcomes. This will show your adaptability and understanding of the healthcare landscape.
✨Familiarise Yourself with Compliance and Privacy Standards
Since compliance with regulatory requirements is key in this role, make sure you understand the relevant data privacy standards. Be prepared to discuss how you've ensured compliance in past projects, especially when dealing with sensitive healthcare data.
