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- Tasks: Develop advanced AI and ML solutions to transform drug development.
- Company: Leading health-tech company focused on innovation in healthcare.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join us to reshape patient experiences with cutting-edge AI technology.
- Qualifications: 5+ years in algorithm design and strong knowledge of generative AI.
- Other info: Collaborative environment with a focus on impactful healthcare solutions.
The predicted salary is between 43200 - 72000 £ per year.
A leading health-tech company is seeking a Principal AI Engineer to develop advanced AI and ML solutions aimed at transforming drug development. The ideal candidate will have over 5 years of experience in designing algorithms and a strong grasp of generative AI technologies. This role involves building production-level code, collaborating cross-functionally, and translating technical initiatives into business value. Join our effort to innovate healthcare and reshape patient experiences by delivering intelligent solutions.
Principal AI Engineer — GenAI for Life Sciences employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer — GenAI for Life Sciences
✨Tip Number 1
Network like a pro! Reach out to professionals in the health-tech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for technical interviews by brushing up on your algorithm design skills. We recommend working through real-world problems and coding challenges that relate to generative AI technologies to showcase your knowledge.
✨Tip Number 3
Don’t just apply; make your application stand out! Tailor your CV and cover letter to highlight your experience in building production-level code and translating technical initiatives into business value. Show us what you can bring to the table!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Use this opportunity to reiterate your enthusiasm for the role and remind them why you’re the perfect fit for transforming drug development.
We think you need these skills to ace Principal AI Engineer — GenAI for Life Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially any work related to drug development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming healthcare through AI. We love seeing candidates who can connect their personal motivations to our mission.
Showcase Your Technical Skills: In your application, be specific about the algorithms you've designed and the generative AI technologies you're familiar with. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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’re considered for this exciting opportunity to innovate in healthcare!
How to prepare for a job interview at AstraZeneca
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI technologies. Be ready to discuss specific algorithms you've designed and how they can be applied in drug development. This shows you're not just familiar with the concepts but can also translate them into practical solutions.
✨Showcase Your Collaboration Skills
Since this role involves cross-functional collaboration, prepare examples of how you've worked with different teams in the past. Highlight any successful projects where you translated technical initiatives into business value, as this will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice coding problems related to AI and ML, and be ready to explain your thought process. This will help you showcase your problem-solving skills and your ability to write production-level code.
✨Align with Their Vision
Research the company’s mission and recent innovations in healthcare. Be prepared to discuss how your experience and vision align with their goals of transforming drug development and improving patient experiences. This shows that you’re genuinely interested in the role and the impact you can make.
