Remote Biomedical Systems Engineer

Job Summary

Biomedical Knowledge Systems Engineer needs 3 years of dedicated experience in software development and highly specialized biomedical system administration.

Position: PART TIME – 20 hours weekly.

• Mandatory extensive knowledge and hands‑on experience with both Mark Logic and Mongo
  
  DB document databases, including direct experience with complex data migration scenarios between these platforms.
• Bachelor’s 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 clinical trials.gov—including expertise in regulatory data standards and integration techniques.
• Proven expertise with NLM biomedical data infrastructures (Pub Med, PMC, 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 a 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‑source data pipelines.
• Documented contributions to FDA regulatory information systems and prior collaborative work with scientific publication analytics.

• 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.