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- Tasks: Design innovative AI solutions for Life Sciences R&D using extensive data assets.
- Company: Leading intelligence firm with a focus on cutting-edge technology.
- Benefits: Private medical insurance, generous pension plan, and hybrid work options.
- Why this job: Make a real impact in drug discovery by translating client needs into actionable strategies.
- Qualifications: Strong understanding of Drug Discovery lifecycle and experience in Life Sciences consulting.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading intelligence firm is seeking a Consultant in Life Sciences R&D Data & AI to design innovative solutions using their extensive data assets and AI technologies. The position requires a strong understanding of the Drug Discovery lifecycle and relevant experience in Life Sciences consulting. The role involves engaging directly with clients to translate their R&D needs into actionable strategies. This is a full-time hybrid position based in London, offering a wide array of benefits, including private medical insurance and a generous pension plan.
Life Sciences R&D AI & Data Strategist employer: Clarivate Analytics
Contact Detail:
Clarivate Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Life Sciences R&D AI & Data Strategist
✨Tip Number 1
Network like a pro! Reach out to professionals in the Life Sciences and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential opportunities.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in Drug Discovery. Be ready to discuss how your experience aligns with their needs and how you can contribute to innovative solutions.
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that highlight your previous work in Life Sciences consulting and AI. This will give you an edge when discussing your capabilities with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, so make sure you take advantage of everything we offer to boost your application.
We think you need these skills to ace Life Sciences R&D AI & Data Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Life Sciences R&D sector. Highlight your experience in drug discovery and any relevant consulting roles. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data in life sciences. Let us know how you can help translate client needs into actionable strategies.
Showcase Your Skills: Don’t forget to showcase your skills in data analysis and AI technologies. We’re looking for someone who can design innovative solutions, so give us examples of how you've done this in the past!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Clarivate Analytics
✨Know Your Drug Discovery Lifecycle
Make sure you brush up on the Drug Discovery lifecycle before your interview. Understanding each phase will help you articulate how your experience aligns with the role and how you can contribute to innovative solutions.
✨Showcase Your Consulting Experience
Prepare specific examples from your past consulting roles that demonstrate your ability to engage with clients and translate their needs into actionable strategies. This will show that you not only understand the technical side but also the client-facing aspect of the job.
✨Familiarise Yourself with AI Technologies
Since the role involves using AI technologies, it’s crucial to be well-versed in the latest trends and tools in AI relevant to Life Sciences. Be ready to discuss how you've applied these technologies in previous projects or how you envision using them in this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to R&D and AI. This shows your genuine interest in the position and helps you gauge if the company culture and values align with yours.
