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- Tasks: Lead AI/ML solutions in clinical trials and optimise healthcare operations.
- Company: Top pharmaceutical company in Greater London with a focus on innovation.
- Benefits: Attractive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by driving cutting-edge AI technologies.
- Qualifications: Advanced degree and strong programming skills in Python or R required.
- Other info: Collaborative environment with a focus on compliance and regulatory standards.
The predicted salary is between 60000 - 84000 £ per year.
A leading pharmaceutical company in Greater London seeks an Associate Director, AI Data Scientist to drive AI/ML solutions in clinical trials and digital healthcare. The candidate will lead the development of AI technologies for optimizing clinical trial operations and design predictive models.
Responsibilities include:
- Collaboration with cross-functional teams
- Maintaining compliance with regulatory standards
Applicants should possess:
- Strong programming skills in Python or R
- An advanced degree
- Significant experience in AI applications within healthcare
Senior AI Data Scientist & GenAI Lead, Healthcare Trials employer: Jazz Pharmaceuticals
Contact Detail:
Jazz Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist & GenAI Lead, Healthcare Trials
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you’ll be working with AI/ML solutions, make sure you can confidently discuss your experience with Python or R and how you've applied these in real-world scenarios.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work in AI applications within healthcare. This could include case studies or predictive models you've developed, which will impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior AI Data Scientist & GenAI Lead, Healthcare Trials
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since programming skills in Python or R are key for this role, make sure to highlight your proficiency in these languages. Include specific examples of projects where you’ve used these skills to drive results in AI applications.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 the latest AI and ML technologies, especially those relevant to healthcare. Be ready to discuss specific projects you've worked on, particularly how you've applied predictive models in clinical trials.
✨Showcase Your Programming Skills
Since strong programming skills in Python or R are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data science and AI.
✨Understand Regulatory Standards
Familiarise yourself with the regulatory standards that govern clinical trials and digital healthcare. Being able to discuss how you’ve ensured compliance in past projects will show that you’re not just technically skilled but also aware of the industry’s legal landscape.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Prepare examples of how you’ve successfully collaborated with different departments to drive AI solutions, as teamwork is crucial in this role.
