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- Tasks: Lead AI-driven projects in drug target discovery for cardiometabolic diseases.
- Company: Top consultancy in professional services with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare using cutting-edge AI technology.
- Qualifications: Master's degree, extensive biotech experience, and strong leadership skills.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
The predicted salary is between 54000 - 84000 £ per year.
A leading consultancy in professional services is seeking a Senior Principal Scientist to lead AI-driven projects in drug target discovery, focusing on cardiometabolic diseases. This role, based in London with a hybrid working model, requires a Master's degree and extensive experience in biotech, demonstrating strong expertise in AI and systems biology.
The ideal candidate will have a PhD and proven leadership in drug discovery, as well as proficiency in data analysis with Python or R.
Senior BioAI Scientist — AI-Driven Drug Target Discovery in City of Westminster employer: Emagine Consulting
Contact Detail:
Emagine Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BioAI Scientist — AI-Driven Drug Target Discovery in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech 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 knowledge of cardiometabolic diseases and AI applications in drug discovery. We recommend practising common interview questions and having examples ready that showcase your leadership and technical skills.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the role. It’s a great way to keep you top of mind.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you’re genuinely interested in joining our team and helps us connect with you faster.
We think you need these skills to ace Senior BioAI Scientist — AI-Driven Drug Target Discovery in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and drug discovery. We want to see how your background aligns with our focus on cardiometabolic diseases, so don’t hold back on 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-driven drug target discovery and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since proficiency in Python or R is key for this role, make sure to mention any relevant projects or experiences where you’ve used these languages. We’re keen to see how you’ve applied your data analysis skills in real-world scenarios.
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 the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Emagine Consulting
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and drug target discovery, especially related to cardiometabolic diseases. Familiarise yourself with relevant case studies or projects that showcase your expertise in systems biology and how you've applied AI in your previous roles.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Be ready to discuss specific challenges you faced in drug discovery and how your leadership made a difference. This will demonstrate your capability to lead AI-driven projects effectively.
✨Get Comfortable with Data Analysis
Since proficiency in Python or R is key, be prepared to discuss your experience with data analysis. You might even want to bring along a portfolio of your work or examples of how you've used these tools to drive results in biotech.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI in drug discovery and their vision for the future. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
