STEM Expert – Biology & Bioinformatics (PhD)
工作标题：STEM 专家 生物学与生物信息学 （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世界输入塑造模型学习，推理和表现的方式。关键责任：·设计，评估和批评生物学，生物信息学和计算生物学工作流程以支持人工智能基准举措。·提供对基因组，转录原子，蛋白原子和其他生物数据分析管道的专家层次见解。·评估和优化管道参数，工具配置以及统计方法进行精确性和可复制性。·分析生物数据集 （例如，NGS,RNA-seq,单细胞，变体调用，蛋白质结构）并提供可操作的建议。·利用领域知识来指导与生物学相关的人工智能模型和工具的开发和验证。·明确地向技术和非技术合作者沟通复杂科学概念，书面和口头上。·记录发现，方法和最佳实践以确保客户团队中知识转移。专业领域 （我们欢迎申请人来自以下任何）: ·基因组学&NGS 分析 ·抄录学 &单细胞分析 · 保护学 & 结构生物学 · 分子学 & 细胞生物学 · ·系统生物学和生物网络分析 ·药物发现与计算药学 · 生物统计学与机器学习应用于生物学所需技能及资格：· 博士学位在生物学，生物信息学，计算机生物学，基因组或紧密相关的 STEM 领域，或者相当于行业/研究经验。· 专业的书面和口语英语 （C1以上）. · 在上述至少一个领域有深入的专业知识，实践经验分析实际生物数据。· 对科学分析的 Python 和/或 R 语言熟练，加上你子领域中标准工具的经验 （例如 BLAST, samtools,GATK,Bioconductor, Biopython）. ·强大的统计，量化和分析推理能力。·卓越的书面和口头沟通能力，有能力清楚记录和解释技术概念。· 复杂生物领域严格科学解决问题的追踪记录。优先资格：· 建立可重现的工作流程 (Nextflow,Snakemake) 和在 Linux/命令行环境中工作经验。·
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Job Title: STEM Expert – Biology & Bioinformatics (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 biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
- Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
- Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
- Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
- Leverage domain knowledge to guide the development and validation of biology-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):
- Genomics & NGS analysis
- Transcriptomics & single-cell analysis
- Proteomics & structural biology
- Molecular & cell biology
- Systems biology & biological network analysis
- Drug discovery & computational pharmacology
- Biostatistics & machine learning applied to biology
Required Skills and Qualifications:
- PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
- Professional written and spoken English (C1 or higher).
- Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
- Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
- Strong statistical, quantitative, and analytical 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 biological domains.
Preferred Qualifications:
- Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
- Experience with AI/ML-assisted biology workflows or benchmarking.
- Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
Originally posted on Himalayas