Biochemistry Expert

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.

Originally posted on Himalayas