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- Tasks: Build and maintain predictive models to revolutionise drug discovery.
- Company: Leading global healthcare company focused on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real-world impact in healthcare with cutting-edge technology.
- Qualifications: Degree in a relevant field and 4-6 years of experience in AI/ML.
- Other info: Join a dynamic team in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading global healthcare company is seeking a Machine Learning Engineer to build, deploy, and maintain predictive models that aid drug discovery. In this role, you will develop modelling code, train models, and work in an agile team, ensuring high technical quality.
Ideal candidates hold a relevant degree, have 4-6 years of experience, and are proficient with Python and AI/ML frameworks. This dynamic position offers an opportunity to make a real-world impact in healthcare.
Machine Learning Engineer - Drug Discovery AI employer: Novo Nordisk A/S
Contact Detail:
Novo Nordisk A/S Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Drug Discovery AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI/ML fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to drug discovery or predictive modelling. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python and AI/ML frameworks, and have examples of your work at the ready.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our team.
We think you need these skills to ace Machine Learning Engineer - Drug Discovery AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI/ML frameworks. 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 drug discovery and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and adapt in an agile environment, especially in healthcare!
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 Novo Nordisk A/S
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the AI/ML frameworks mentioned in the job description. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've approached complex problems in drug discovery or similar fields. Think of examples where your predictive models made a significant impact, and be ready to explain your thought process and the results.
✨Emphasise Team Collaboration
Since this role involves working in an agile team, highlight your experience collaborating with others. Share examples of how you've contributed to team success, whether through code reviews, pair programming, or sharing knowledge with colleagues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to drug discovery and how they integrate machine learning into their processes. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
