
AI Experts in Scientific Research
2 days ago
Innodata is a leading data engineering company serving over 2000 customers worldwide.
We combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence.
About the Role:
We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives.
You will contribute to the development and improvement of AI systems by creating, curating, and evaluating medical and scientific datasets, validating model outputs, and providing domain-specific insights.
Key Responsibilities:
- Develop high-quality medical and scientific content and datasets to train or evaluate AI systems.
- Ensure 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.
Requirements:
- 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.
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