STEM Expert – Chemistry & Computational Chemistry (PhD)
职位标题：STEM 专家 化学和计算化学 （博士）职位类型：承包商地点：远程 （全球）工作总结：在这个角色中，你将应用自己的专业知识来帮助培训下一代人工智能系统。你的工作将通过高质量的现实输入塑造模型学习，推理和表现的方式。关键责任：·设计，评估和批评化学和计算化工学问题，工作流程和推理链以支持 AI 基准举措。·提供反应机制，合成规划，光谱分析，分子模拟和电子结构方法的专家级见解。· 评估和优化实验协议，模拟参数以及软件配置以确保准确性和可复制性。·分析化学，光谱和模拟数据并提供可操作的建议。· 利用领域知识来指导与化学相关的人工智能模型和工具的开发和验证。· 清楚地向技术和非技术合作者沟通复杂科学概念。· 文件发现，方法和最佳做法以确保客户团队中知识转移。专业知识领域 （我们欢迎申请人来自以下任何一个）: · 有机合成和反应机制：·无机化学和金属化工学 · 物理与理论化学 ·分析化学和光谱学 ·计算化学和分子动态学 · 化学信息学和药物发现 ·材料科学和聚合物化学所需技能及资格：·博士学位在化学，计算机化学，化学生物学，材料科学或紧密相关领域。·实践研究实验室经验，包括试验子领域的湿场实验室体验，或者对计算机子领域进行广泛模拟重度研究。·上述至少一个领域的深入专业知识。· 专业写作和口语英语 （C1以上）. · 熟练使用 Python 和/或行业标准工具 （例如高斯语，ORCA, Psi4,GROMACS,LAMMPS,RDKit）. ·卓越的量化，分析和科学推理技能。·杰出的书面和口头沟通能力，有能力明确记录和解释技术概念。· 在复杂化学领域进行严格的科学问题解决工作记录。优先资格：· 学术经验 （博士后，研究生）
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Role Title: STEM Expert – Chemistry & Computational Chemistry (PhD)
Role Type: Contractor
Location: Remote (Worldwide)
Job Summary: 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.
Key Responsibilities:
- Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives.
- Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
- Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility.
- Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
- Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
- Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
- Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Areas of Expertise (we welcome applicants from any of the following):
- Organic synthesis & reaction mechanisms
- Inorganic & organometallic chemistry
- Physical & theoretical chemistry
- Analytical chemistry & spectroscopy
- Computational chemistry & molecular dynamics
- Cheminformatics & drug discovery
- Materials science & polymer chemistry
Required Skills and Qualifications:
- PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
- Hands-on research lab experience, including wet lab experience for experimental subfields, or extensive simulation-heavy research for computational subfields.
- Deep expertise in at least one of the areas listed above.
- Professional written and spoken English (C1 or higher).
- Proficiency in Python and/or industry-standard tools in your subfield (e.g., Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit).
- Excellent quantitative, analytical, and scientific reasoning skills.
- Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
- Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred Qualifications:
- Academic experience (postdoc, research scientist, faculty, or equivalent), strongly preferred.
- Peer-reviewed publications, patents, or contributions to open-source scientific software.
- Experience with AI/ML-assisted chemistry workflows or benchmarking.
- Background in drug discovery, reaction prediction, or retrosynthesis.
Originally posted on Himalayas