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- Tasks: Manage health AI projects, create deliverables, and review peer work remotely.
- Company: Mercor, a leader in health services innovation.
- Benefits: Competitive hourly pay, flexible remote work, and asynchronous collaboration.
- Other info: Flexible hours with opportunities for impactful contributions.
- Why this job: Join a cutting-edge team to enhance AI in healthcare and make a difference.
- Qualifications: 4+ years in medical management and strong written communication skills.
The predicted salary is between 64000 - 88000 £ per year.
Mercor is seeking a Medical and Health Services Manager to work remotely for 30–40 hours a week. The role involves creating deliverables, reviewing peer-developed work, and leveraging domain expertise in medical and health services.
Candidates must have:
- 4+ years of experience
- Excellent written communication skills
The compensation ranges from $80 to $110 per hour, and work will be conducted asynchronously to improve AI model performance.
Remote Health AI Research Manager (Contract) in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Health AI Research Manager (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the health AI field on LinkedIn or relevant forums. A friendly chat can open doors and give you insights that might just land you that remote gig.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or a presentation that highlights your past projects and achievements in medical and health services. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your experience and how it aligns with the role of a Health AI Research Manager.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to submit your application. Plus, it shows you’re serious about joining our team at Mercor!
We think you need these skills to ace Remote Health AI Research Manager (Contract) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in medical and health services. We want to see how your background aligns with the role, so don’t hold back on those relevant achievements!
Nail the Written Communication: Since excellent written communication skills are a must, take your time crafting your application. Use clear and concise language, and make sure your ideas flow logically. We love a well-structured application!
Tailor Your Application: Don’t just send a generic application! Tailor your cover letter and CV to reflect the specific requirements of the Health AI Research Manager role. Show us why you’re the perfect fit for this position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Mercor
✨Know Your Stuff
Make sure you brush up on your medical and health services knowledge. Familiarise yourself with the latest trends in AI applications within healthcare. This will not only show your expertise but also demonstrate your passion for the field.
✨Showcase Your Communication Skills
Since excellent written communication is a must, prepare to discuss how you've effectively communicated complex ideas in the past. Bring examples of your work that highlight your ability to convey information clearly and concisely.
✨Prepare for Asynchronous Work
As the role involves asynchronous work, be ready to discuss how you manage your time and stay productive without direct supervision. Share strategies you've used in previous roles to ensure you meet deadlines and maintain quality.
✨Ask Insightful Questions
Prepare thoughtful questions about Mercor's current projects and future goals. This shows your genuine interest in the company and helps you understand how you can contribute to their success in improving AI model performance.