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- Tasks: Lead AI/ML initiatives to revolutionise drug development processes.
- Company: Top research organisation in Greater London with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and extensive professional growth opportunities.
- Why this job: Make a significant impact in healthcare using cutting-edge AI/ML technologies.
- Qualifications: PhD in AI/ML or Life Sciences, strong statistical analysis skills, Python/PyTorch experience.
- Other info: Join a dynamic team dedicated to advancing medical science.
The predicted salary is between 54000 - 84000 £ per year.
A leading research organization is seeking a Director, MIDD AI/ML Scientist for their Clinical Pharmacology Quantitative Medicine team in Greater London. The ideal candidate will apply AI/ML techniques to enhance drug development processes.
A PhD in AI/ML or Life Sciences is required, along with strong skills in statistical analysis and experience with Python/PyTorch.
This role offers competitive compensation, a hybrid working model, and various benefits to encourage professional growth and well-being.
Director, Hybrid AI/ML for Drug Development employer: The Association of Technology, Management and Applied Engineering
Contact Detail:
The Association of Technology, Management and Applied Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Hybrid AI/ML for Drug Development
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML and drug development fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your expertise in Python and PyTorch. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis knowledge. Be ready to discuss how you've applied AI/ML techniques in past projects, especially in drug development contexts.
✨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 show your enthusiasm for joining our team.
We think you need these skills to ace Director, Hybrid AI/ML for Drug Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML techniques and drug development. We want to see how your skills in statistical analysis and Python/PyTorch make you the perfect fit for this role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applying AI/ML in drug development and how your background aligns with our team's goals. Let us know what excites you about this opportunity!
Showcase Relevant Projects: If you've worked on any projects that involved AI/ML in a life sciences context, be sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
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 role. Plus, it’s super easy!
How to prepare for a job interview at The Association of Technology, Management and Applied Engineering
✨Know Your AI/ML Stuff
Make sure you brush up on the latest AI/ML techniques relevant to drug development. Be ready to discuss how you've applied these methods in your previous roles, especially using Python and PyTorch. This will show that you're not just familiar with the theory but can also implement it practically.
✨Statistical Analysis is Key
Since strong skills in statistical analysis are a must for this role, prepare to talk about your experience with various statistical methods. Bring examples of how you've used these skills to solve real-world problems in drug development. It’s all about demonstrating your analytical prowess!
✨Show Your Leadership Skills
As a Director, you'll need to lead a team effectively. Think about times when you've successfully managed projects or mentored others. Be ready to share specific examples that highlight your leadership style and how you foster collaboration within a team.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the organisation's approach to AI/ML in drug development 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.
