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- Tasks: Support innovative projects in machine learning for medical image analysis.
- Company: Leading medical technology company based in Oxford.
- Benefits: Gain hands-on experience, work with experts, and contribute to impactful healthcare solutions.
- Other info: Join a diverse team committed to inclusion and professional growth.
- Why this job: Make a real difference in healthcare while developing your skills in a dynamic environment.
- Qualifications: Strong programming skills in Python and a degree in a related field.
The predicted salary is between 20000 - 30000 £ per year.
A medical technology company in Oxford is looking for a motivated Data Science (Cardiac) Intern to support cutting-edge projects in machine learning and deep learning for medical image analysis. The role involves research, model optimization, and collaboration with various scientific teams.
Candidates should have strong programming skills in Python and a degree in a related field. The position offers a chance to impact healthcare through innovative solutions and a commitment to diversity and inclusion.
Cardiac Imaging ML Intern: Research & Cloud Platforms in Oxford employer: Perspectum Ltd
Contact Detail:
Perspectum Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cardiac Imaging ML Intern: Research & Cloud Platforms in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical tech field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and deep learning. We want to see your coding prowess in Python, so make sure to highlight any relevant work you've done.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to data science and being ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Cardiac Imaging ML Intern: Research & Cloud Platforms in Oxford
Some tips for your application 🫡
Show Your Passion for Healthcare: When writing your application, let us know why you're excited about using machine learning in the medical field. Share any relevant experiences or projects that highlight your enthusiasm for improving healthcare through technology.
Highlight Your Technical Skills: Make sure to showcase your programming skills in Python clearly. We want to see how you've applied these skills in past projects, especially those related to data science or image analysis. Don't hold back on the details!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background aligns with our focus on cardiac imaging and model optimisation. This shows us that you’ve done your homework and are genuinely interested in the position.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Perspectum Ltd
✨Know Your Stuff
Make sure you brush up on your Python programming skills and any relevant machine learning concepts. Be ready to discuss your previous projects or coursework related to cardiac imaging and how they can apply to the role.
✨Research the Company
Dive into the medical technology company’s recent projects and innovations in healthcare. Understanding their mission and values will help you align your answers with what they’re looking for, especially regarding their commitment to diversity and inclusion.
✨Prepare for Technical Questions
Expect some technical questions related to model optimisation and deep learning. Practise explaining complex concepts in simple terms, as you may need to collaborate with scientific teams who might not have a technical background.
✨Show Your Passion
Let your enthusiasm for healthcare and technology shine through. Share why you’re excited about the opportunity to impact healthcare through innovative solutions, and be prepared to discuss how you can contribute to their cutting-edge projects.