远程生物医学知识系统工程师

Remote Biomedical Knowledge Systems Engineer

AI开发工程限定地区（需当地身份）

公司Global Channel Management, Inc.

薪资未公开

工作地点United States

地域资格限定地区（需当地身份）

时区要求日间重叠约 9 小时，基本正常作息

用工类型Full Time

发布时间17 天前

数据来源Himalayas

前往 Himalayas 查看并投递 →

注意地域限制：该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。

生物医学知识系统工程师需要3年专注于软件开发的经验，以及高度专业化的生物医学系统管理经验
生物医学知识系统工程师要求：
兼职：每周20小时

必须掌握并有实际经验使用MarkLogic和MongoDB文档数据库，包括在这些平台之间进行复杂数据迁移的直接经验

计算机科学、生物信息学或相关专业的学士学位

在受监管环境中使用高级AWS服务（Secrets Manager、Elastic Beanstalk、EC2）进行安全、合规的应用部署和管理方面有显著能力

在使用FDA、AACT和clinicaltrials.gov的数据集和API进行数据整理、检索和管理方面有深入的实际经验，包括对监管数据标准和集成技术的专业知识

在NLM生物医学数据基础设施（包括PubMed、PMC和Gene Expression Omnibus）方面有深入实践经验，涵盖大规模自动化获取、标准化和语义整合出版物和实验数据

有直接的生产级经验使用NLP、GenAI、LLM代理框架应用于实际的生物医学用例，展示构建定制管道以实现语义搜索和知识图谱构建的能力

高度熟练的全栈工程能力，有现代前端框架（包括vue.js或同等工具）的显著经验，后端API设计，以及针对科学工作流的云原生微服务架构

曾负责过独特且自定义构建的生物医学信息系统，具有复杂的多源数据管道

有对FDA监管信息系统做出贡献的记录，并有与科学出版物分析合作的经验

生物医学知识系统工程师职责：
· 独立管理、维护和升级我们的定制语义科学搜索平台，根据需要执行高层次重构、故障排除和架构升级

为遗留的生物医学信息学系统提供全面的行政、运营和开发支持

查看英文原文

Biomedical Knowledge Systems Engineer needs 3 years dedicated experience in software
Biomedical Knowledge Systems Engineer needs 3 years dedicated experience in software development and highly specialized biomedical system administration
Biomedical Knowledge Systems Engineer requires;
PART TIME: 20 hours weekly

Mandatory extensive knowledge and hands-on experience with both MarkLogic and MongoDB document databases, including direct experience with complex data migration scenarios between these platforms

Bachelors degree in Computer Science, Bioinformatics, or a related discipline,

Demonstrated proficiency in advanced AWS services (Secrets Manager, Elastic Beanstalk, EC2) for secure, compliant application deployment and management within regulated environments

In-depth, practical experience with data curation, retrieval, and management using datasets and APIs from FDA, AACT, and clinicaltrials.gov—including expertise in regulatory data standards and integration techniques.

Proven expertise with NLM biomedical data infrastructures (including PubMed, PMC, and Gene Expression Omnibus), encompassing large-scale automated ingestion, normalization, and semantic integration of publication and experimental data

Direct, production-level experience with NLP, GenAI, LLM agentic frameworks applied to real-world biomedical use-cases, demonstrating the ability to build custom pipelines for semantic search and knowledge graph construction

Highly proficient in full-stack engineering, with significant track record in modern frontend frameworks (including vue.js or equivalent), backend API design, and cloud-based microservices architecture tailored to scientific workflows

Prior stewardship of unique and custom-built biomedical information systems with complex, multi-sourced data pipelines

Documented contributions to FDA regulatory information systems and prior collaborative work with scientific publication analytics.

Biomedical Knowledge Systems Engineer duties:

Independently manage, maintain, and evolve our custom semantic scientific search platform, performing high-level refactoring, troubleshooting, and architectural upgrades as necessary.

Provide comprehensive administrative, operational, and development support for legacy biomedical informatics systems

development and highly specialized biomedical system administration
Biomedical Knowledge Systems Engineer requires;
PART TIME: 20 hours weekly

Mandatory extensive knowledge and hands-on experience with both MarkLogic and MongoDB document databases, including direct experience with complex data migration scenarios between these platforms

Bachelors degree in Computer Science, Bioinformatics, or a related discipline,

Demonstrated proficiency in advanced AWS services (Secrets Manager, Elastic Beanstalk, EC2) for secure, compliant application deployment and management within regulated environments

In-depth, practical experience with data curation, retrieval, and management using datasets and APIs from FDA, AACT, and clinicaltrials.gov—including expertise in regulatory data standards and integration techniques.

Proven expertise with NLM biomedical data infrastructures (including PubMed, PMC, and Gene Expression Omnibus), encompassing large-scale automated ingestion, normalization, and semantic integration of publication and experimental data

Direct, production-level experience with NLP, GenAI, LLM agentic frameworks applied to real-world biomedical use-cases, demonstrating the ability to build custom pipelines for semantic search and knowledge graph construction

Highly proficient in full-stack engineering, with significant track record in modern frontend frameworks (including vue.js or equivalent), backend API design, and cloud-based microservices architecture tailored to scientific workflows

Prior stewardship of unique and custom-built biomedical information systems with complex, multi-sourced data pipelines

Documented contributions to FDA regulatory information systems and prior collaborative work with scientific publication analytics.

Biomedical Knowledge Systems Engineer duties:

Independently manage, maintain, and evolve our custom semantic scientific search platform, performing high-level refactoring, troubleshooting, and architectural upgrades as necessary.

Provide comprehensive administrative, operational, and development support for legacy biomedical informatics systems

Originally posted on Himalayas

本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。本站只做信息聚合展示，不参与招聘流程，也不向求职者收取任何费用。