Company Description Internzvalley is committed to providing exceptional upskilling opportunities for aspiring professionals and students, with a focus on practical, career-oriented learning. The organization designs structured programs that emphasize hands-on experience, allowing participants to apply theoretical knowledge to real-world challenges. Internzvalley supports personal and professional growth through mentorship, project-based work, and exposure to industry tools and practices. By fostering a collaborative learning environment, Internzvalley helps individuals build relevant skills and confidence for future roles in emerging fields such as AI in healthcare.
Role Description The AI in Healthcare (MBBS) role at Internzvalley is a full-time, remote position focused on integrating medical expertise with artificial intelligence applications. Day-to-day responsibilities include reviewing clinical scenarios and datasets, providing medical validation for AI models, and contributing to the design of evidence-based healthcare algorithms. The role involves collaborating with data scientists and developers, helping translate clinical requirements into structured inputs, and reviewing outputs for clinical accuracy and safety. The professional in this role will participate in documentation of medical guidelines, contribute to research initiatives, and support the creation of learning materials and case studies for healthcare AI projects.
Qualifications
•Medical qualifications: MBBS or equivalent medical degree, with a solid understanding of clinical workflows and patient care.
- Technical and analytical skills: Basic familiarity with AI/ML concepts, healthcare data (EHR, clinical records), and an interest in digital health technologies.
- Research and documentation abilities: Experience or interest in clinical research, literature review, and preparation of clear, structured medical documentation.
- Collaboration and communication: Strong communication skills, ability to work effectively in cross-functional remote teams, and openness to continuous learning.
- Additional beneficial qualifications: Prior exposure to telemedicine or health informatics, understanding of medical ethics and data privacy, and comfort using online collaboration tools.
