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- Tasks: Lead drug target discovery using AI and computational biology for cardiometabolic diseases.
- Company: High-end consultancy firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by leveraging cutting-edge technology.
- Qualifications: Extensive biotech experience, Master's degree (PhD preferred), and strong AI expertise.
- Other info: Collaborative and inclusive environment with a focus on career development.
The predicted salary is between 57600 - 84000 £ per year.
A high-end consultancy firm in London seeks a Senior Principal Scientist to drive drug target discovery for cardiometabolic diseases leveraging computational biology and AI approaches. Candidates should have extensive experience in the biotech sector and hold a Master's degree, ideally with a PhD. Strong expertise in AI, systems biology, and communication skills are crucial. The role offers a hybrid work model emphasizing collaboration and inclusion.
BioAI Lead Scientist – Drug Target Discovery in London employer: emagine
Contact Detail:
emagine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BioAI Lead Scientist – Drug Target Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech sector, especially those with experience in drug target discovery. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your expertise! Prepare a portfolio or presentation that highlights your work in AI and systems biology. When you get the chance to chat with potential employers, this will help you stand out and demonstrate your value.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to drug target discovery and computational biology. We can help you with mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that BioAI Lead Scientist role!
We think you need these skills to ace BioAI Lead Scientist – Drug Target Discovery in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in drug target discovery and computational biology. We want to see how your background aligns with the role, so don’t be shy about showcasing your relevant skills and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cardiometabolic diseases and how your expertise in AI can drive innovation. Let us know what excites you about this opportunity!
Showcase Your Communication Skills: Since strong communication skills are crucial for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to share examples of how you’ve effectively communicated complex ideas in the past.
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 any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at emagine
✨Know Your Stuff
Make sure you brush up on your knowledge of drug target discovery and the latest trends in cardiometabolic diseases. Familiarise yourself with computational biology and AI applications in this field, as you'll want to demonstrate your expertise and how it aligns with the company's goals.
✨Showcase Your Experience
Prepare to discuss your extensive experience in the biotech sector. Have specific examples ready that highlight your contributions to previous projects, especially those involving AI and systems biology. This will help you illustrate your capability to drive innovation in drug target discovery.
✨Communicate Clearly
Strong communication skills are crucial for this role. Practice explaining complex scientific concepts in a way that's easy to understand. You might be asked to present your ideas or findings, so being able to convey your thoughts clearly will set you apart from other candidates.
✨Embrace Collaboration
Since the role emphasises collaboration and inclusion, be prepared to discuss how you've worked effectively in teams. Share examples of how you've fostered a collaborative environment in past roles, and express your enthusiasm for working in a hybrid model that values diverse perspectives.
