At a Glance
- Tasks: Develop and implement innovative AI/ML solutions for healthcare trials.
- Company: Leading biopharmaceutical company focused on digital healthcare.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Transform clinical trial operations and make a real impact in healthcare.
- Qualifications: Advanced degree and experience in AI applications within healthcare.
- Other info: Collaborative environment with a focus on innovation and compliance.
The predicted salary is between 48000 - 72000 £ per year.
A leading biopharmaceutical company is seeking a Principal, AI Data Scientist to develop and implement innovative AI/ML solutions for clinical trial operations and digital healthcare. The role demands strong programming skills, expertise in generative AI, and collaboration with various teams to optimize projects.
Candidates should hold an advanced degree in a relevant field and possess experience applying AI in healthcare. This position is crucial for transforming trial execution and ensuring compliance with regulations.
Lead AI Data Scientist - GenAI for Healthcare Trials employer: Jazz Pharmaceuticals
Contact Detail:
Jazz Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Data Scientist - GenAI for Healthcare Trials
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical and AI 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 interviews by brushing up on your technical skills. Be ready to discuss your experience with generative AI and how it can be applied to healthcare trials. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on AI/ML solutions before, create a portfolio that highlights your best work. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI Data Scientist - GenAI for Healthcare Trials
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and expertise in generative AI. We want to see how your experience aligns with the innovative solutions we’re looking to develop for healthcare trials.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background fits the specific needs of the role. We love seeing candidates who take the time to connect their experience with our mission.
Collaborate in Your Writing: Since this role involves working with various teams, showcase your collaborative spirit in your application. Share examples of how you’ve worked with others to optimise projects in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jazz Pharmaceuticals
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI and its applications in healthcare. Be ready to discuss specific projects where you've implemented AI/ML solutions, as this will show your expertise and how it aligns with the company's goals.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming skills during the interview. Whether it's through coding challenges or discussing past projects, be ready to highlight your proficiency in relevant languages and tools that are crucial for the role.
✨Collaboration is Key
Since the role involves working with various teams, think of examples where you've successfully collaborated on projects. Be prepared to discuss how you communicate complex AI concepts to non-technical stakeholders, as this will showcase your ability to bridge gaps between teams.
✨Understand Compliance and Regulations
Familiarise yourself with the regulatory landscape surrounding clinical trials and digital healthcare. Being able to discuss how your work adheres to these regulations will demonstrate your awareness of the industry's standards and your commitment to ethical practices.