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- Tasks: Research AI and computer vision to identify high-risk patients for Chronic Kidney Disease.
- Company: Leading biopharmaceutical company in Cambridge with a focus on innovation.
- Benefits: Collaborative environment, mentorship, and access to extensive datasets.
- Why this job: Make a real difference in healthcare using cutting-edge AI technology.
- Qualifications: PhD in a related field and expertise in machine learning required.
- Other info: Join a dynamic team and contribute to impactful research.
The predicted salary is between 36000 - 60000 £ per year.
A leading biopharmaceutical company in Cambridge is seeking a Postdoctoral Fellow to apply computer vision and AI in multimodal digital pathology. The role involves researching computational pathology approaches to identify high-risk patients for Chronic Kidney Disease.
Candidates should have a PhD in a related field and expertise in machine learning. The position offers a collaborative environment with access to extensive datasets and mentorship from experienced professionals.
Postdoc: AI-Driven Computational Pathology for CKD Risk in Cambridge employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoc: AI-Driven Computational Pathology for CKD Risk in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field, especially those working with AI and digital pathology. A friendly chat can open doors and give you insights that might just land you that postdoc position.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and any relevant research. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on the latest trends in computational pathology and AI. Follow relevant journals and attend webinars. This not only boosts your knowledge but also gives you great talking points during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare for interviews and connect with the right people. Plus, it’s a great way to show your enthusiasm for the role!
We think you need these skills to ace Postdoc: AI-Driven Computational Pathology for CKD Risk in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects related to computational pathology.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven computational pathology and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Research Experience: In your application, highlight any research you've done that relates to digital pathology or CKD. We’re looking for candidates who can demonstrate their ability to work with extensive datasets and apply innovative approaches, so make sure to include specific examples.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at AstraZeneca
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to digital pathology. Be ready to discuss specific projects or research you've done in these areas, as well as how they can apply to identifying high-risk patients for Chronic Kidney Disease.
✨Show Your Collaborative Spirit
Since the role emphasises a collaborative environment, be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you’ve collaborated with professionals from different backgrounds, as this will show you can thrive in their mentorship-driven setting.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current projects in computational pathology and how they leverage extensive datasets. This not only shows your genuine interest but also demonstrates your understanding of the field and its challenges.
✨Be Ready to Discuss Ethics
Given the sensitive nature of healthcare data, be prepared to talk about ethical considerations in AI and machine learning. Discuss how you would approach issues like data privacy and bias in algorithms, which are crucial in the context of patient care.
