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Medical Expert
Taskify
HybridHybrid
Original Job Summary
About the Role
The Medical Expert role at Medical Expert is a remote position where you will collaborate with a leading AI research lab on a groundbreaking healthcare technology project. You will apply your medical expertise to design, test, and refine AI systems that simulate real-world clinical workflows and support medical research innovation.
Key Responsibilities
- Review AI-generated case studies, diagnoses, and clinical workflows against medical standards.
- Provide structured feedback on clarity, safety, and clinical rigour in AI outputs.
- Contribute specialised medical insights to evaluate AI performance in diagnosis and treatment reasoning.
- Collaborate asynchronously with AI researchers and data scientists.
Qualifications / Skills Required
- MD or DO from an accredited medical school.
- 2+ years of clinical practice experience.
- Experience in Primary Care, Internal Medicine, Public Health, Hospital-Based or Mental Health specialties.
- Excellent written communication, clinical reasoning, and attention to detail.
Apply Now
Join a pioneering project shaping the future of medical AI, where your clinical expertise directly contributes to safer, smarter, and more reliable healthcare technology.
Key skills/competency
- Medical
- AI
- Clinical
- Diagnostics
- Research
- Feedback
- Collaboration
- Communication
- Analysis
- Innovation
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Customize Resume: Tailor your CV showcasing clinical and AI experience.
- Highlight Expertise: Stress your MD/DO credentials and clinical background.
- Showcase Results: Quantify past medical contributions in your applications.
- Research Taskify: Understand the company's AI and healthcare projects.
📝 Interview Preparation Advice
Technical Preparation
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Review AI clinical case studies.
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Study healthcare tech integration.
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Practice diagnostics analysis.
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Update latest medical standards.
Behavioral Questions
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Describe a challenging clinical review experience.
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Explain your team collaboration approach.
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Discuss feedback methods in team settings.
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Share an instance of effective problem solving.