Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative projects to optimise drug discovery using cutting-edge AI technologies.
- Company: Pioneering biotechnology firm based in Greater London with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in drug discovery and contribute to groundbreaking advancements.
- Qualifications: PhD and 8+ years in data science, with strong Python programming skills.
- Other info: Join a dynamic team dedicated to transforming healthcare through technology.
The predicted salary is between 48000 - 72000 £ per year.
A biotechnology innovator in Greater London is seeking a skilled professional to optimize drug discovery pipelines using innovative technologies. The ideal candidate will have a PhD and 8+ years in data science or related fields, with strong programming skills in Python and a depth of experience in scientific data analysis.
Work involves leading interdisciplinary projects and ensuring the effectiveness of screening processes. Flexible work arrangements are available, and candidates will contribute to pioneering advancements in drug discovery.
Senior Data Scientist – Drug Discovery AI Lead (Remote) in London employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Drug Discovery AI Lead (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and data science 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! Research the company and its projects, especially in drug discovery AI. Be ready to discuss how your experience aligns with their goals and how you can lead interdisciplinary teams effectively.
✨Tip Number 3
Showcase your skills! Create a portfolio of your past projects, especially those involving Python and scientific data analysis. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist – Drug Discovery AI Lead (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and drug discovery. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python and any interdisciplinary projects you've led.
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 background makes you the perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any innovative projects or research, make sure to include them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in scientific data analysis and screening processes.
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. Plus, it’s super easy!
How to prepare for a job interview at Aqemia
✨Know Your Stuff
Make sure you brush up on your data science fundamentals, especially in relation to drug discovery. Be ready to discuss your PhD research and how it relates to the role. Highlight any specific projects where you've optimised processes or led teams.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms that are relevant to scientific data analysis.
✨Interdisciplinary Collaboration
This role involves leading interdisciplinary projects, so be prepared to talk about your experience working with diverse teams. Share examples of how you've successfully collaborated with other scientists or departments to achieve project goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current drug discovery projects or the technologies they’re using. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
