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- Tasks: Design AI models for drug discovery and optimise MLOps pipelines.
- Company: Leading biotechnology firm in Glasgow with a focus on innovation.
- Benefits: Impactful work in medicine, dynamic team environment, and career growth.
- Other info: Exciting opportunity to work with generative models and large datasets.
- Why this job: Join a cutting-edge team and shape the future of healthcare.
- Qualifications: MSc or PhD in relevant field with 5+ years of AI experience.
The predicted salary is between 60000 - 80000 £ per year.
A leading biotechnology firm in Glasgow is seeking a Senior AI/ML Data Scientist to leverage cutting-edge machine learning for drug discovery. The ideal candidate will have a strong background in AI, particularly in generative models and large-scale datasets.
Responsibilities include:
- Designing models for predicting molecular properties
- Optimizing MLOps pipelines
A MSc or PhD in a relevant field with 5+ years of experience is required. This role offers a unique opportunity to impact the future of medicine in a dynamic team environment.
Senior AI/ML Scientist - Drug Design & Molecules in Glasgow employer: Chemify Ltd
Contact Detail:
Chemify Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Scientist - Drug Design & Molecules in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI/ML fields 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! Brush up on your knowledge of generative models and MLOps pipelines. Be ready to discuss your past projects and how they relate to drug discovery – this is your chance to shine!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on any relevant projects, create a portfolio that highlights your work in AI and drug design. This can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your passion for advancing medicine.
We think you need these skills to ace Senior AI/ML Scientist - Drug Design & Molecules in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially with generative models and large datasets. We want to see how your background aligns 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 drug discovery and how your skills can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any exciting projects related to molecular properties or MLOps pipelines, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our dynamic team!
How to prepare for a job interview at Chemify Ltd
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of generative models and large-scale datasets. Be ready to discuss specific projects where you've applied these concepts, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed models for predicting molecular properties in the past. Use examples that highlight your analytical thinking and creativity in solving complex problems, especially in drug discovery.
✨Familiarise Yourself with MLOps
Since optimising MLOps pipelines is part of the role, be prepared to discuss your experience with MLOps tools and practices. Highlight any specific tools you've used and how they improved your workflow or model performance.
✨Demonstrate Team Spirit
This position is in a dynamic team environment, so be ready to share experiences where you've collaborated effectively with others. Talk about how you contribute to a positive team culture and how you handle feedback and differing opinions.