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- Tasks: Develop machine learning models to enhance personalised healthcare solutions and improve accessibility.
- Company: Leading AI healthcare firm focused on innovation and real-world impact.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a difference in healthcare with cutting-edge AI technology.
- Qualifications: PhD or Master's degree with relevant experience in machine learning.
- Other info: Join a dynamic team dedicated to transforming healthcare accessibility.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI healthcare firm is seeking a skilled professional to develop machine learning models that enhance personalized healthcare solutions and improve accessibility. You will handle health data from various sources and contribute to AI-driven innovations that have a real-world impact.
A PhD or Master's degree with relevant experience is required. This role offers a hybrid working model in West London, UK.
Healthcare AI & Accessibility ML Scientist in Egham employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Healthcare AI & Accessibility ML Scientist in Egham
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects, especially those related to 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 your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Healthcare AI & Accessibility ML Scientist in Egham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and healthcare. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects related to AI or healthcare, make sure to mention them! We’re interested in real-world applications, so share what you’ve done and the impact it had.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Jobster
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to healthcare. Be ready to discuss specific models you've worked on and how they can enhance personalised healthcare solutions.
✨Showcase Your Experience
Prepare to share examples of how you've handled health data from various sources. Highlight any projects where your work led to real-world impact, as this will resonate with the interviewers looking for practical applications of your skills.
✨Ask Smart Questions
Come prepared with insightful questions about the company's current projects and future goals in AI-driven innovations. This shows your genuine interest in their work and helps you gauge if the company aligns with your career aspirations.
✨Embrace the Hybrid Model
Since this role offers a hybrid working model, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Share any experiences that demonstrate your adaptability and commitment to collaboration.
