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- Tasks: Code medical questionnaires to SNOMED codes on a dedicated platform.
- Company: Digital health company in the UK focused on AI-driven initiatives.
- Benefits: Flexible remote work and competitive hourly pay.
- Why this job: Contribute to innovative AI projects while enhancing your coding skills.
- Qualifications: Minimum one year of medical coding experience and familiarity with SNOMED.
- Other info: Short-term project lasting 1-2 months with potential for future opportunities.
The predicted salary is between 20 - 25 £ per hour.
A digital health company in the United Kingdom is seeking medical coders to assist in coding questionnaires to SNOMED codes on a dedicated platform.
Candidates should have at least one year of experience in medical coding and a familiarity with SNOMED.
This is a flexible, remote project lasting 1-2 months with competitive hourly compensation, ideal for those looking to contribute to AI-driven clinical coding initiatives.
Remote SNOMED Medical Coder for AI Data Labeling employer: Mentis AI
Contact Detail:
Mentis AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote SNOMED Medical Coder for AI Data Labeling
✨Tip Number 1
Make sure your online presence is up to scratch! Update your LinkedIn profile and any relevant social media with your medical coding experience and SNOMED familiarity. This helps us see your skills at a glance.
✨Tip Number 2
Network like a pro! Reach out to fellow medical coders or join online forums related to SNOMED coding. You never know who might have a lead on a project or can give you insider tips.
✨Tip Number 3
Prepare for virtual interviews by brushing up on common coding scenarios and SNOMED specifics. We want to see how you think on your feet, so practice articulating your thought process clearly.
✨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 you’re serious about joining our team in this exciting AI-driven project.
We think you need these skills to ace Remote SNOMED Medical Coder for AI Data Labeling
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your medical coding experience, especially if you've worked with SNOMED codes before. We want to see how your background aligns with what we're looking for!
Tailor Your Application: Don’t just send a generic application! Take a moment to customise your CV and cover letter to reflect the specific skills and experiences that match the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’d be a great fit for this role.
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 Mentis AI
✨Know Your SNOMED Codes
Make sure you brush up on your SNOMED coding knowledge before the interview. Familiarise yourself with the latest updates and how they apply to clinical scenarios. This will show that you're not just experienced but also proactive about staying current in your field.
✨Highlight Relevant Experience
When discussing your past roles, focus on specific projects where you successfully coded medical data. Use examples that demonstrate your problem-solving skills and attention to detail, as these are crucial for the role. Be ready to explain how your experience aligns with the company's goals.
✨Prepare for Scenario Questions
Expect to be asked about how you would handle certain coding scenarios or challenges. Practise articulating your thought process clearly and logically. This will help the interviewers see your analytical skills in action and how you approach complex coding tasks.
✨Show Enthusiasm for AI Initiatives
Since this role involves contributing to AI-driven clinical coding, express your interest in how technology is shaping the future of healthcare. Share any relevant experiences or insights you have about AI in medical coding, as this will demonstrate your passion for the field and the project.