At a Glance
- Tasks: Take charge of AI-driven clinical coding projects and collaborate with key stakeholders.
- Company: Join a dynamic team focused on innovative healthcare solutions.
- Benefits: Flexible work environment and opportunities for professional growth.
- Other info: Small, agile team using cutting-edge tools like LiveView and Docker.
- Why this job: Be at the forefront of AI technology in healthcare and make a real difference.
- Qualifications: Product-minded engineers with a passion for innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Come work with us on the AI-driven & knowledge-guided clinical coding product for primary care.
Team and Tech: We are a small but mighty team of 3 using LiveView, Ash and doing some cool stuff with Docker.
Responsibilities: Assume end-to-end responsibilities, including working directly with senior stakeholders and internal and external customers.
Qualifications: Product-minded engineers.
AI-Driven Product Engineer - Clinical Coding in London employer: Dyad AI
Join our innovative team as an AI-Driven Product Engineer in Clinical Coding, where you'll have the opportunity to work on cutting-edge technology that directly impacts primary care. We foster a collaborative and dynamic work culture, offering ample opportunities for professional growth and development, all while being part of a small, dedicated team that values creativity and initiative. Located in a vibrant area, we provide a unique environment that encourages meaningful contributions and rewards your efforts.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Product Engineer - Clinical Coding in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI and clinical coding. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and product engineering. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by understanding our tech stack. Familiarise yourself with LiveView, Ash, and Docker. We love seeing candidates who are genuinely interested in our tools!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're keen on joining our team.
We think you need these skills to ace AI-Driven Product Engineer - Clinical Coding in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and clinical coding. Share any relevant projects or experiences that highlight your interest in this field. We love candidates who are genuinely excited about what we do!
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the job description. Highlight your experience with technologies like LiveView and Docker, as well as your ability to work with stakeholders. We want to see how you fit into our small but mighty team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate candidates who can communicate effectively, especially when working with both technical and non-technical stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves. We’re excited to see what you bring to the table!
How to prepare for a job interview at Dyad AI
✨Know Your Tech Stack
Familiarise yourself with LiveView, Ash, and Docker before the interview. Be ready to discuss how you've used these technologies in past projects or how you would approach using them in the role.
✨Understand Clinical Coding
Brush up on clinical coding concepts and how AI can enhance this process. Showing that you understand the domain will impress the interviewers and demonstrate your product-minded approach.
✨Engage with Stakeholders
Prepare examples of how you've successfully collaborated with stakeholders in previous roles. Highlight your communication skills and ability to gather requirements effectively, as this is crucial for the position.
✨Show Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to product engineering. Think through your problem-solving process out loud during the interview to showcase your analytical thinking and creativity.
