micro1 is seeking Life Sciences Research Assistants to contribute to a project focused on creating next-generation AI benchmarks. In this role, you will apply your domain expertise to help train advanced AI systems by designing expert-level evaluation tasks that mirror real-world scientific challenges.
Key responsibilities
- Develop complex, authentic research evaluation tasks in the life sciences domain, such as experimental design critique and primary data interpretation.
- Source and synthesize research materials, including raw experimental data, lab protocols, and technical literature.
- Define and document the correct methodological approach and biological interpretation for each task.
- Create comprehensive rubrics targeting methodological rigor, data interpretation, and source fidelity for AI-based evaluation.
- Ensure all tasks reflect the nuance and depth of real-world scientific work rather than simplified scenarios.
Requirements
- Bachelor's or Master's degree in biology, biomedical sciences, biochemistry, or a closely related discipline.
- Minimum of 2 years of hands-on research or laboratory experience involving primary data analysis and scientific protocols.
- Demonstrated expertise in protocol-driven, multi-source scientific workflows and scientific reasoning.
- Strong written English skills with experience in drafting or reviewing scientific documentation.
- High attention to detail and a commitment to rubric fidelity to ensure objective task design.
What we offer
- The opportunity to shape the development of next-generation AI systems through your domain expertise.
- A fully remote working environment allowing for asynchronous collaboration.
- Engagement in high-level scientific work that challenges and utilizes your professional background.