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Medical Researcher for Artificial Intelligence

2 weeks ago


Kolkata, West Bengal, India beBeeMedical Full time ₹ 15,00,000 - ₹ 30,00,000
Job Title: Medical Scientist for AI Development

We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Medical Sciences, Biomedical Sciences, Life Sciences, or related disciplines who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.

Key Responsibilities:
  • Create, review, or annotate high-quality medical and scientific content and datasets to train or evaluate AI systems.
  • Perform quality assurance on model-generated outputs for clinical and scientific accuracy, clarity, and alignment with domain knowledge.
  • Analyze and interpret AI behavior in the context of medical and biomedical tasks and error patterns.
  • Support the development of guidelines for medical content generation and annotation.
  • Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
  • Conduct domain-specific research and synthesize findings to guide model improvements.
  • Identify and resolve issues related to ambiguity, bias, or misrepresentation in medical and scientific content.

Qualifications:
  • PhD in Medical Sciences, Biomedical Sciences, Life Sciences, or a closely related discipline.
  • Strong analytical skills and ability to apply medical and scientific knowledge to real-world datasets and AI systems.
  • Familiarity with clinical research standards, peer-reviewed publishing, or lab-based research methodologies.
  • Attention to detail and ability to critically evaluate medical/scientific content for accuracy and clarity.
  • Excellent writing, editing, and communication skills.
  • (Preferred) Experience with AI/ML concepts, data annotation, programming, or biomedical informatics.

Nice to Have:
  • Experience working with large medical or scientific datasets.
  • Knowledge of machine learning pipelines, NLP, or LLMs.
  • Previous experience in interdisciplinary research, clinical research, or healthcare consulting.