Life Sciences Research Expert (Python)
职位标题：生命科学研究专家 (Python) 薪水：60美元~120美元/小时 地点：全球，完全远程工作类型：承包商 （每周15个小时）时间表：灵活你选择你的工作时间和日期，包括周末如果想要的微1正在寻找有经验的人生科学研究人员具有强大的实践的 Python 技能来为评估和改进先进人工智能系统的项目做贡献。在这个角色中，你将应用你的科学专业知识创建，解决和审查生物学及相关领域中的挑战性研究问题。专业领域 我们特别感兴趣的是具有以下一个或多个专业领域的候选人：·医学和生物医学科学 ·计算生物学 · 神经科学 ·分子和细胞生物学 · 生态技术和生物信息学 ·遗传学和基因组学 ·生态与进化生物学 ·生物统计学或生物数据科学 ·等。工作范围 · 在你的专业领域内创建和解决技术严格的科学问题。· 开发可复制的基于 Python 的分析，模型，模拟或数据处理工作流程。· 对科学解决方案和代码进行准确性，清晰度和完整性的审查。优先资格 ·博士学位，MD 或士学位在相关生命科学学科方面拥有大量研究经验。·通过出版物，论文工作，计算项目，行业研究或同等成就证明强大的科学或应用研究背景。· 科学计算机，数据分析，建模或模拟的实用 Python 体验。·熟悉 NumPy,panda,SciPy,Matplotlib,scikit-learn,Jupyter 或相关域名特定图书馆等工具。过程·申请角色并完成选问题。·完成大约30分钟的 AI 面试。·完成招聘经理审查。补偿结构补偿是基于输出。专家每项工作符合项目规范的任务支付费用。根据专家的经验和工作流程所需时间可能会有所不同。提交要求最低限度适用于..启动时间表 &可用性 我们通常在48小时内填写职位，寻找准备立即开始的工作的专家。如果被选出，你将被曝光。
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Role Title: Life Sciences Research Expert (Python)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
micro1 is seeking experienced life sciences researchers with strong, hands-on Python skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will apply your scientific expertise to create, solve, and review challenging research problems within biology and related fields. You will use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code.
Areas of Expertise
We are particularly interested in candidates with expertise in one or more of the following:
- Medicine and biomedical science
- Computational biology
- Neuroscience
- Molecular and cellular biology
- Biotechnology and bioinformatics
- Genetics and genomics
- Ecology and evolutionary biology
- Biostatistics or biological data science
- Etc.
Scope of Work
- Create and solve technically rigorous scientific problems within your area of expertise.
- Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
- Review scientific solutions and code for correctness, clarity, and completeness.
Preferred Qualifications
- PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline.
- Strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
- Practical Python experience for scientific computing, data analysis, modeling, or simulation.
- Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.
Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply..
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
Originally posted on Himalayas