
Scientific Expert
2 weeks ago
We are seeking a highly analytical and detail-oriented medical scientist to support our AI training and model evaluation initiatives.
This role is ideal for individuals with a PhD 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.
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:
- 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.
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