At a Glance
- Tasks: Support the development of clinical prediction models and assist in data processing.
- Company: Innovative healthcare tech company focused on AI solutions.
- Benefits: Flexible working hours and opportunities for long-term growth.
- Why this job: Gain hands-on experience in healthtech and contribute to impactful AI projects.
- Qualifications: Strong data science foundations, solid Python skills, and interest in clinical AI.
- Other info: Remote position with a dynamic team environment.
The predicted salary is between 500 - 1500 £ per month.
A healthcare technology company in the UK is seeking a motivated Data Science Intern to join its AI & Product team. The intern will support the development of clinical prediction models, contribute to data processing, assist in model evaluation, and gain hands-on experience in healthtech.
Ideal candidates are graduate students with strong data science foundations, solid Python skills, and an interest in clinical AI. This role offers flexible working hours and a chance for long-term growth.
Healthcare AI Data Scientist Intern — Remote in London employer: Aisthesis Medical Limited
Contact Detail:
Aisthesis Medical Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Healthcare AI Data Scientist Intern — Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare tech space on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to AI and healthcare. 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 common data science questions and case studies. Practising with friends or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give us a better chance to stand out from the crowd.
We think you need these skills to ace Healthcare AI Data Scientist Intern — Remote in London
Some tips for your application 🫡
Show Your Passion for Healthtech: When writing your application, let us know why you're excited about the intersection of healthcare and AI. Share any relevant projects or experiences that highlight your interest in clinical AI and how you see yourself contributing to our mission.
Highlight Your Technical Skills: Make sure to showcase your strong data science foundations and Python skills. We want to see specific examples of how you've used these skills in past projects or coursework, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to this specific role. Mention how your background aligns with the responsibilities of supporting clinical prediction models and data processing.
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 opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Aisthesis Medical Limited
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Be ready to discuss concepts like regression, classification, and model evaluation metrics. This will show that you have a solid foundation and are prepared to contribute to the team.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practise common data manipulation tasks using libraries like Pandas and NumPy.
✨Understand Clinical AI Applications
Familiarise yourself with how AI is used in healthcare. Research current trends and challenges in clinical prediction models. This knowledge will help you engage in meaningful conversations during the interview and show your genuine interest in the field.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you determine if this internship aligns with your career goals.