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 contributi