At a Glance
- Tasks: Lead AI innovation and enhance products in the Pharma sector.
- Company: Norstella, a forward-thinking company in London.
- Benefits: Supportive environment, professional development, and impactful work.
- Other info: Exciting opportunities for growth and collaboration across teams.
- Why this job: Make a real difference in patient access to therapies with cutting-edge AI solutions.
- Qualifications: Graduate degree in STEM, 5+ years experience, strong Python and AI skills.
The predicted salary is between 60000 - 80000 € per year.
Norstella in London seeks a Senior Data Scientist to drive innovation in AI solutions. You will lead major releases, apply AI/ML to enhance products, and collaborate across teams.
Candidates should have:
- A graduate degree in a STEM field
- 5+ years of relevant experience
- Strong skills in Python and AI technologies
The role offers a supportive environment for professional development with significant responsibilities and opportunities for impact on patient access to therapies.
Senior Data Scientist, Pharma AI & Life Sciences employer: Norstella
Norstella is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong commitment to professional development, employees are encouraged to grow their skills and take on significant responsibilities that directly impact patient access to therapies. The company offers a supportive environment where creativity thrives, making it an ideal place for those looking to make a meaningful contribution in the Pharma AI and Life Sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Pharma AI & Life Sciences
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharma and AI sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those relevant to life sciences. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and AI technologies. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and ideas.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Scientist, Pharma AI & Life Sciences
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and ML, especially in the pharma sector. 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 AI solutions in life sciences and how you can contribute to our mission at Norstella. Keep it engaging and personal.
Showcase Your Technical Skills:Since we’re looking for someone with strong Python and AI tech skills, make sure to include specific examples of how you’ve used these in your previous roles. We love seeing real-world applications!
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. Don’t miss out!
How to prepare for a job interview at Norstella
✨Know Your AI and ML Inside Out
Make sure you brush up on your knowledge of AI and machine learning technologies. Be prepared to discuss specific projects where you've applied these skills, especially in the pharma or life sciences sectors. This will show that you not only understand the theory but also how to implement it effectively.
✨Showcase Your Python Proficiency
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data science challenges beforehand. Highlight any libraries or frameworks you’re familiar with that are relevant to AI solutions.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think of examples where you've successfully worked with cross-functional teams. Be ready to discuss how you communicate complex data insights to non-technical stakeholders, as this will showcase your ability to bridge the gap between data science and business needs.
✨Align with Their Mission
Norstella is focused on improving patient access to therapies, so do your homework on their mission and values. Be prepared to discuss how your work as a Senior Data Scientist can contribute to this goal. Showing that you’re aligned with their vision will set you apart from other candidates.