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For Companies At a Glance
- Tasks: Annotate and validate clinical data to train AI models in healthcare.
- Company: Join a forward-thinking team revolutionising healthcare with AI.
- Benefits: Earn $100-$200/hr, enjoy remote work flexibility, and enhance your skills.
- Why this job: Make a real difference in healthcare by shaping AI technology.
- Qualifications: Must be a licensed healthcare provider with advanced clinical expertise.
- Other info: Work independently while collaborating with diverse teams in a dynamic environment.
The predicted salary is between 78 - 156 £ per hour.
Position: Healthcare & Clinical Expert – AI Trainer
Type: Hourly contract
Compensation: $100-$200/hr
Location: Remote
Commitment: 10 to 40 hours per week
Role Responsibilities
- Annotate, review, and validate clinical data to train healthcare AI models with high accuracy and regulatory compliance.
- Apply deep clinical expertise to guide AI learning across complex medical and patient care scenarios.
- Collaborate with product, engineering, and data science teams to improve healthcare AI systems and workflows.
- Develop and maintain clinical guidelines, protocols, and standards for AI model training and deployment.
- Contribute to knowledge transfer initiatives and continuous improvement of clinical documentation practices.
- Communicate complex clinical insights clearly to both technical and non-technical stakeholders.
- Monitor healthcare regulations, clinical trends, and emerging technologies to inform AI development strategies.
Requirements
- Strong professional experience as a licensed healthcare provider or clinical expert.
- Advanced clinical degree such as MD, DO, NP, PA, PharmD, or equivalent.
- Strong hands-on experience in clinical practice with a deep understanding of healthcare workflows and patient care.
- Demonstrated expertise in healthcare IT systems and electronic health record platforms.
- Solid background in clinical documentation, charting, coding, and regulatory compliance.
- Excellent written and verbal communication skills with strong attention to accuracy and detail.
- Proven ability to analyze, interpret, and annotate complex medical data.
- Ability to work independently in a remote environment while collaborating effectively with multidisciplinary teams.
Clinical Research Assistant | Remote employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Research Assistant | Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and clinical fields. Let them know you're on the lookout for opportunities, and don't hesitate to ask for introductions or referrals. We all know that sometimes it's not just what you know, but who you know!
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your clinical expertise. Join relevant groups and engage in discussions. This way, we can show potential employers that you're not just a candidate, but an active member of the community.
✨Tip Number 3
Prepare for virtual interviews like a champ! Research common questions for Clinical Research Assistants and practice your responses. We want to highlight your deep understanding of healthcare workflows and patient care, so be ready to share specific examples from your experience.
✨Tip Number 4
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. So, don’t wait around – get those applications in and let’s land you that dream role!
We think you need these skills to ace Clinical Research Assistant | Remote
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Clinical Research Assistant role. Highlight your relevant experience and skills that match the job description, especially your clinical expertise and understanding of healthcare workflows.
Showcase Your Communication Skills: Since you'll be communicating complex clinical insights, it's crucial to demonstrate your written communication skills. Use clear and concise language in your application to show us you can convey information effectively to both technical and non-technical stakeholders.
Highlight Your Experience with AI and Healthcare IT: If you've got experience with healthcare IT systems or AI in clinical settings, make sure to mention it! We want to see how your background aligns with our goal of improving healthcare AI systems and workflows.
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 during the process!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Clinical Stuff
Make sure you brush up on your clinical knowledge and be ready to discuss your experience as a healthcare provider. They’ll want to see that you can apply your expertise to train AI models effectively, so think about specific examples from your practice that highlight your skills.
✨Show Off Your Tech Savvy
Since this role involves working with healthcare IT systems, be prepared to talk about your experience with electronic health records and any relevant tech tools. Highlight how you've used these systems in your previous roles to improve patient care or streamline workflows.
✨Communicate Clearly
You’ll need to explain complex clinical insights to both technical and non-technical folks, so practice articulating your thoughts clearly. Consider preparing a few scenarios where you successfully communicated intricate information to diverse audiences.
✨Stay Updated on Trends
Familiarise yourself with the latest healthcare regulations and emerging technologies. Being able to discuss current trends will show that you’re proactive and engaged in the field, which is crucial for contributing to AI development strategies.
