Computational Biology & Bioinformatics Expert (PhD)
micro1
远程工作
- 地点
- Remote (Worldwide)
- 工作安排
- Contractor
- 发布日期
- 2026年10月16日
申请前，请在雇主网站确认职位仍在招聘，并检查完整要求和条件。
职位描述
此界面为简体中文。雇主发布的职位名称和描述保留原文，可能为英文。
Job Title: Computational Biology & Bioinformatics Expert (PhD)
Job 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 advanced computational chemistry workflows to support AI benchmarking initiatives.
Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing 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.
Required Skills and Qualifications:
PhD in chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.
Professional written and spoken English (C1 or higher)
Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.
Strong scientific programming and analytical workflow experience, especially using Python.
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:
Experience with AI/ML-assisted chemistry workflows or benchmarking.
Peer-reviewed publications, patents, or contributions to open-source scientific software.
Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
Originally posted on Himalayas