eTeam · 1 hour ago
Biomedical Knowledge Systems Engineer
eTeam is seeking a specialized Biomedical Knowledge Systems Engineer to maintain and enhance applications for a scientific knowledge discovery platform at Sumitomo Pharma America. The role involves managing legacy systems, executing data migrations, and designing GenAI-driven applications while ensuring compliance with regulatory standards.
Information Technology
Responsibilities
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, including the Gene-Disease Association Knowledgebase and FDA Label Search, requiring extensive familiarity with their unique data models and workflows
Architect and execute complex data migrations, including document and vector database transformations from MarkLogic to MongoDB, while ensuring absolute preservation of biomedical metadata fidelity and auditability in compliance with regulatory standards
Design, build, and optimize scalable GenAI-based applications (leveraging frameworks such as vue.js) to expand automated scientific knowledge extraction, semantic enrichment, and cross-source information synthesis
Provide analytical and technical leadership on automated conversion of clinical trial results into regulatory-compliant FDA submission templates, integrating data from multiple sources
Lead ongoing modernization strategies by advising on best-practices for system interoperability, performance tuning, and secure deployment in hybrid cloud environments
Qualification
Required
Bachelor's degree in Computer Science, Bioinformatics, or a related discipline, with a minimum of 3 years' dedicated experience in software development and highly specialized biomedical system administration
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
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, PClient, 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
Preferred
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
Company
eTeam
eTeam is a staffing agency that also provides payrolling services.
H1B Sponsorship
eTeam has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (36)
2024 (205)
2023 (11)
2022 (7)
2021 (24)
2020 (25)
Funding
Current Stage
Late StageTotal Funding
unknown2023-12-04Acquired
Recent News
2025-11-19
2025-08-21
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