计算生物学家 - 全远程 | 最高100美元/小时
Computational Biologist - Fully Remote | Upto $100/hr
Mercor将顶尖的创意和技术人才与领先的AI研究实验室相连接。公司总部位于旧金山，我们的投资人包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：STEM计算科学软件与评估设计 - 药代动力学与系统生物学
类型：合同制
薪资：70–100美元/小时
地点：远程
投入时间：每周15–20小时
岗位职责
- 使用领域特定的科学软件库（如libRoadRunner、Tellurium或基于SBML的工具）设计具有挑战性的计算问题。
- 开发测试AI系统实现复杂多步骤科学工作流和战略推理能力的问题。
- 根据最先进的AI模型校准任务，优化问题设计以达到目标难度。
- 与AI研究团队合作，提升模型输出和训练数据质量。
- 独立且异步地工作，以满足截止日期并提高AI模型性能。
任职要求
必备条件
- 在相关STEM领域有研究生水平的培训（硕士、博士或同等研究经验）。
- 精通至少一种列出的科学软件库，需有研究论文、开源贡献或专业工作的证明。
- 强大的Python编程技能，用于编写问题设置、Oracle函数和解决方案验证器。
- 能够独立工作，并根据校准反馈迭代改进问题设计。
- 熟悉Linux/终端环境和远程计算沙盒。
优先考虑
- 在多个列出的领域或工具上有经验。
- 熟悉基准测试或评估设计。
- 有科学教学法或考试/题集设计背景。
- 有计算可重复性和容器化环境的经验。
申请流程（需要20–30分钟完成）
- 上传简历
- 基于你的简历进行AI面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细内容，请查看：
- 如有任何帮助或支持需求，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以便获得此次机会的考虑。
最初发布于Himalayas
查看英文原文
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
- Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.
- Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning.
- Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.
- Collaborate with AI research teams to improve model outputs and training data quality.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
- Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.
- Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
- Ability to work independently and iterate on problem designs based on calibration feedback.
- Comfortable in a Linux/terminal environment with remote compute sandboxes.
Preferred
- Experience across multiple listed domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas