Remote Biomedical Knowledge Systems Engineer

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