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- Tasks: Lead AI-driven projects to optimise drug development and enhance productivity.
- Company: Global biopharmaceutical company at the forefront of digital innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on the future of medicine with cutting-edge technology.
- Qualifications: Degree in natural sciences or data science; experience in scientific informatics required.
- Other info: Collaborate with world-class scientists in a dynamic and innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A global biopharmaceutical company in Macclesfield is seeking a Scientific Informatics Lead to drive digital innovation and optimize drug development through strong leadership and hands-on development. You will work collaboratively with world-class scientists and data teams to create AI workflows and informatics solutions that enhance productivity and speed in drug projects.
The ideal candidate holds a degree in natural sciences or data science and has a proven track record in scientific informatics, including cheminformatics and lab automation. This is an exciting opportunity to impact the future of medicine.
Scientific Informatics Lead — AI-Driven Drug Discovery in Macclesfield employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientific Informatics Lead — AI-Driven Drug Discovery in Macclesfield
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Showcase your skills! Prepare a portfolio that highlights your experience in scientific informatics, especially any projects related to AI workflows or lab automation. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around your leadership experience and technical skills. Confidence is key when discussing your fit for the role.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your CV gets seen by the right people and shows your genuine interest in joining our team.
We think you need these skills to ace Scientific Informatics Lead — AI-Driven Drug Discovery in Macclesfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Scientific Informatics Lead role. Highlight your background in natural sciences or data science, and don’t forget to showcase any relevant projects in cheminformatics or lab automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI-driven drug discovery and how your leadership experience can drive digital innovation. Be specific about what excites you about this opportunity.
Showcase Your Collaborative Spirit: Since this role involves working with world-class scientists and data teams, make sure to highlight your teamwork skills. Share examples of how you've successfully collaborated on projects in the past, especially in scientific informatics.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at AstraZeneca
✨Know Your Science
Brush up on your knowledge of natural sciences and data science. Be prepared to discuss how your background in scientific informatics, cheminformatics, and lab automation can contribute to AI-driven drug discovery. Show them you understand the science behind the role!
✨Showcase Your Leadership Skills
Since this role involves strong leadership, think of examples where you've led a team or project successfully. Be ready to share how you motivated others and drove innovation in previous roles. They want to see that you can inspire and guide world-class scientists and data teams.
✨Demonstrate Your Technical Expertise
Familiarise yourself with the latest tools and technologies in AI workflows and informatics solutions. Be prepared to discuss specific projects where you've implemented these technologies to enhance productivity. This will show them you're hands-on and ready to make an impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals in drug development. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations. It’s a two-way street, so make sure to engage!
