Job description
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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.