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 agents, specifically Codex, Claude Science, Claude Code, and Claude Cowork, in 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.