生命科学研究员
Life Sciences Research Assistant
职位名称：生命科学研究员助理
职位类型：合同工
工作地点：远程
micro1 正在招募生命科学研究员助理，参与一个专注于创建下一代 AI 基准的客户项目。在此职位中，您将运用专业知识帮助训练下一代 AI 系统。您的工作将影响模型的学习、推理和表现方式，通过高质量的真实输入数据。无需 AI 领域经验——您的专业领域知识才是关键。您将设计并编写专家级评估任务，使用真实的科研成果和技术挑战，反映生命科学领域的高级实践。每个任务将通过真实数据集、多步骤问题解决和超越教科书科学的严格评估标准来测试 AI 代理。
工作范围
- 在生命科学领域开发复杂且真实的科研评估任务（例如，实验设计批判、协议分析和原始数据解读）。
- 收集并整合科研资料，包括原始实验数据、实验室协议、技术文献和补充文件。
- 为每个任务定义并记录正确的方法论和生物学解释。
- 创建全面的多项目评分标准，针对方法严谨性、数据解读和来源真实性，用于基于 LLM 的评估。
- 确保所有任务体现真实科学工作的细微差别、模糊性和深度，而非简化或假设情景。
- 与项目协调员异步协作，获取反馈并优化交付成果。
优先资格
- 生物学、生物医学科学、生物化学或相关学科的学士或硕士学位。
- 至少 2 年的科研或实验室经验，涉及原始数据分析和科学协议。
- 在以协议为导向的、多来源的科学工作流程方面有实际经验。
- 精通科学推理、资料综合和方法评估。
- 英文写作能力强，有撰写或审核科学文档的经验。
- 熟悉处理多种数据格式（CSV、电子表格、PDF、技术文档）。
- 注重细节，致力于评分标准的一致性，确保高质量、客观的任务设计。
- 薪酬结构
- 薪酬基于产出；专家按符合项目要求的任务数量获得报酬。完成工作所需时间
查看英文原文
Role Title: Life Sciences Research Assistant
Role Type: Contractor
Location: Remote
micro1 is engaging Life Sciences Research Assistants to contribute to a customer's project focused on creating next-generation AI benchmarks. 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. You'll design and author expert-level evaluation tasks, using authentic research artifacts and technical challenges that mirror advanced practice in the life sciences. Each assignment will test AI agents with realistic data sets, multi-step problem-solving, and rigorous evaluation rubrics that go beyond textbook science.
Scope of Work
- Develop complex, authentic research evaluation tasks in the life sciences domain (e.g., experimental design critique, protocol analysis, and primary data interpretation).
- Source and synthesize research materials, including raw experimental data, lab protocols, technical literature, and supplementary documents.
- Define and document the correct methodological approach and biological interpretation for each task.
- Create comprehensive, multiple item rubrics targeting methodological rigor, data interpretation, and source fidelity for LLM-based evaluation.
- Ensure all tasks reflect the nuance, ambiguity, and depth of real-world scientific work — not simplified or hypothetical scenarios.
- Collaborate asynchronously with project coordinators for feedback and refinement of deliverables.
Preferred Qualifications
- Bachelor's or Master's in biology, biomedical sciences, biochemistry, or a closely related discipline.
- Minimum 2 years of hands-on research or laboratory experience with primary data analysis and scientific protocols.
- Demonstrated expertise in protocol-driven, multi-source scientific workflows.
- Mastery of scientific reasoning, source synthesis, and methodological evaluation.
- Strong written English skills, with experience drafting or reviewing scientific documentation.
- Familiarity with handling diverse data formats (CSVs, spreadsheets, PDFs, technical documents).
- Attention to detail and commitment to rubric fidelity, ensuring high-quality, objective task design.
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas