Biochemistry Expert
Summary
A biochemistry expert reviews datasets and research to annotate and validate content for training AI models in life sciences, requiring deep domain knowledge but no prior AI experience.
Role Title: Biochemistry Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Biochemistry Experts to contribute to a customer's project focused on advancing AI capabilities in the life sciences. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Review complex biochemical datasets, research findings, and protocols to provide accurate, expert-level annotation and validation.
- Develop and refine content, use cases, and scenarios based on current biochemistry practices for AI model training purposes.
- Assess the scientific validity and clarity of biochemistry-related prompts, model-generated outputs, and informational resources.
- Collaborate with technical teams to translate domain-specific insights into actionable feedback for improving AI systems.
- Identify knowledge gaps, ambiguities, and edge cases within biochemical content to enhance model robustness.
- Deliver clear, concise written and verbal explanations of complex concepts to inform AI training processes.
- Participate in iterative review cycles to ensure the ongoing accuracy and relevance of biochemistry inputs.
Preferred Qualifications
- Advanced degree (Master’s, PhD, or equivalent experience) in Biochemistry, Molecular Biology, or a related field.
- Demonstrated expertise in biochemical mechanisms, laboratory methods, and current literature.
- Strong analytical and critical thinking skills applied to data interpretation and problem solving.
- Exceptional written and verbal communication abilities, with a passion for clarity and detail.
- Experience contributing to scientific publications, peer reviews, or educational content.
- Familiarity with interdisciplinary collaboration, ideally in research, biotech, or health science projects.
- Curiosity for technology and openness to leveraging domain knowledge in innovative AI contexts.