Job Description
- Curate, annotate, and validate scientific datasets for AI training in biochemistry and biophysics.
- Evaluate AI model performance and provide domain specific feedback for improvement.
- Develop scientific scenarios and problem sets to train and test AI systems.
- Collaborate with interdisciplinary teams on AI training workflows.
- Document methodologies and communicate findings to technical and non technical stakeholders.
Requirements
- Advanced degree in Biochemistry, Biophysics, or a related life sciences field.
- Expertise in molecular biology, structural biology, or related disciplines.
- Experience with scientific data curation, annotation, and analysis.
- Familiarity with computational tools and AI or machine learning concepts.
- Strong written and verbal communication skills with high attention to detail.
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