Computational Biology Expert 6

Computational Biology Expert
micro1 is engaging Computational Biology Experts to contribute their technical expertise to an innovative customer-driven project.
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
• Collaborate on assignments designed to evaluate and enhance the technical capabilities of AI coding agents in computational biology contexts.

• Provide real-world use cases demonstrating the application of AI agentsspecifically Codex, Claude Science, Claude Code, and Claude Coworkin complex computational biology scenarios.

• Document detailed workflows, approaches, and outcomes achieved using AI agents for sequence generation and technical problem-solving, rather than simple chat-based interactions.

• Deliver clear, comprehensive written and verbal feedback on model performance, usability, and potential for integration in professional STEM environments.

• Contribute data and insights reflecting advanced usage, such as navigating large codebases, debugging intricate issues, and architecting solutions in computational biology.

• Participate in structured assignments that inform model improvements and support the creation of robust, domain-specific benchmarks.

• Engage in discussions with the project team to help iterate on tools and techniques, articulating complex technical information effectively.

Preferred Qualifications
• Hands-on expertise in computational biology, with a proven track record of tackling complex technical projects using AI coding agents beyond basic code generation.

• Demonstrated proficiency with Codex, Claude Science, Claude Code, and Claude Cowork, with emphasis on leveraging these agents to generate sequences in authentic workflows.

• Experience navigating and operating within large codebases, implementing end-to-end features, and managing architectural changes in computational settings.

• Strong written and verbal communication skills, with an ability to describe problem-solving processes and technical outcomes in detail.

• Active engagement as a STEM professional, currently applying AI coding agents to challenging real-world problems.

• Capability to share well-articulated feedback and nuanced insights to shape the evolution of AI systems in computational biology.

• Familiarity with ambiguity in problem spaces and a track record of adapting tools to solve novel or unclear technical challenges.