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- Tasks: Lead a team to create innovative AI solutions for life sciences.
- Company: Top life sciences solutions provider in the UK.
- Benefits: Flexible working, generous leave, and pension matching.
- Why this job: Make a real impact in pharmaceutical development with cutting-edge AI.
- Qualifications: Master's in STEM, leadership experience, and Python skills.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 48000 - 72000 £ per year.
A leading life sciences solutions provider in the United Kingdom is seeking a Generative AI Lead Scientist to lead initiatives in utilizing AI technologies. This role involves managing a team of data scientists and developers to define and build innovative solutions that support pharmaceutical product development.
Successful candidates will have:
- A Master's degree in a STEM field
- Leadership experience
- Strong skills in Python and LLMs
The position offers flexible working arrangements and various benefits including generous leave and pension matching.
Generative AI Lead Scientist: Life Sciences Data employer: Norstella
Contact Detail:
Norstella Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Lead Scientist: Life Sciences Data
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and AI 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 interviews by brushing up on your Python skills and understanding LLMs inside out. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your leadership experience! Be ready to discuss how you've managed teams and projects in the past. Use specific examples that highlight your ability to drive innovation in AI solutions.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Generative AI Lead Scientist: Life Sciences Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and life sciences. We want to see how your skills in Python and LLMs can shine through, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Generative AI Lead Scientist role. Share your passion for AI technologies and how your leadership experience can drive our initiatives forward.
Showcase Your Projects: If you've worked on any innovative projects related to AI or data science, make sure to mention them! We love seeing real-world applications of your skills, especially those that support pharmaceutical product development.
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 about the role!
How to prepare for a job interview at Norstella
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and life sciences data. Be ready to discuss how you've applied AI technologies in past projects, especially in a pharmaceutical context. This shows you're not just familiar with the theory but can also translate it into practical solutions.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of your leadership experience. Talk about how you've motivated your team, resolved conflicts, or driven projects to success. Highlighting your ability to lead will set you apart from other candidates.
✨Demonstrate Technical Proficiency
You’ll need strong skills in Python and LLMs, so be ready to discuss specific tools and frameworks you’ve used. If possible, bring examples of your work or projects that showcase your coding skills and understanding of large language models. This will help us see your technical capabilities in action.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, team dynamics, and future goals in AI. This not only shows your genuine interest in the role but also helps you assess if the company is the right fit for you. Engaging in a two-way conversation can leave a lasting impression.
