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, competitive pay, and opportunities for growth.
- Other info: Small, agile team with a focus on cutting-edge technologies.
- 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 30000 - 50000 £ per year.
Come work with us on the AI-driven & knowledge-guided clinical coding product for primary care.
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 City of 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 City of 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 a GitHub repo 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 the interview by understanding our tech stack. Familiarise yourself with LiveView, Ash, and Docker. We love it when candidates can speak our language!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI-Driven Product Engineer - Clinical Coding in City of London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us know why you're excited about AI-driven products. Share any relevant experiences or projects that highlight your enthusiasm and understanding of the field.
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with clinical coding and any tech stacks like LiveView or Docker that you’ve worked with. We love seeing how your skills align with our needs!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your past roles and responsibilities, especially those that relate to product engineering. We appreciate clarity!
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 the role. Plus, it’s super easy!
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 to discuss how you would interact with senior stakeholders and customers. Think of examples from your experience where you successfully managed stakeholder expectations or gathered requirements.
✨Show Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to product engineering. Think through your problem-solving process and be prepared to explain your reasoning clearly during the interview.
