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
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