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Biological Systems Analyst
3 weeks ago
We are seeking a highly analytical and detail-oriented scientific expert to support our artificial intelligence (AI) training and model evaluation initiatives.
The ideal candidate will contribute to the development and improvement of AI systems by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.
This role involves:
- Creating high-quality scientific content and datasets to train or evaluate AI systems.
- Performing quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
- Analyzing and interpreting AI behavior in the context of domain-specific tasks and error patterns.
- Supporting the development of guidelines for scientific content generation and annotation.
- Collaborating with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
- Conducting domain-specific research and synthesizing findings to guide model improvements.
Required Skills and Qualifications:
To succeed in this role, you will need:
- A PhD in Biology or a related field.
- Strong analytical skills and the ability to apply theoretical knowledge to real-world datasets and AI systems.
- Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
- Attention to detail and the ability to critically evaluate scientific content for accuracy and clarity.
- Excellent writing, editing, and communication skills.
- Experience with AI/ML concepts, data annotation, programming, or computational modeling is preferred.
Nice to Have:
Previous experience working with large datasets or scientific databases, knowledge of machine learning pipelines, NLP, or LLMs, and experience in interdisciplinary research or technical consulting are all valuable assets in this role.
