Biomedical Knowledge Systems Engineer

jmd technologies inc. • United State
Remote
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AI Summary

We are seeking a highly specialized Biomedical Knowledge Systems Engineer to support the development, maintenance, and evolution of advanced biomedical information and knowledge discovery systems. This role sits at the intersection of biomedical data, software engineering, and GenAI, supporting complex, regulated scientific workflows.

Key Highlights
Biomedical data platforms
Document databases
Cloud infrastructure
AI-driven semantic search systems
Technical Skills Required
MarkLogic MongoDB AWS Secrets Manager Elastic Beanstalk EC2 NLP GenAI LLM-based agentic frameworks Vue.js JavaScript PostgreSQL Kubernetes
Benefits & Perks
Remote work
Part-time employment

Job Description


Role: Biomedical Knowledge Systems Engineer

Location: Fully Remote

Type: Part-Time

About the Role

We are seeking a highly specialized Biomedical Knowledge Systems Engineer to support the development, maintenance, and evolution of advanced biomedical information and knowledge discovery systems. This role sits at the intersection of biomedical data, software engineering, and GenAI, supporting complex, regulated scientific workflows.

The ideal candidate brings deep hands-on experience with biomedical data platforms, document databases, cloud infrastructure, and AI-driven semantic search systems.

Key Requirements

  • Bachelor’s degree in Computer Science, Bioinformatics, or a related field, with 3+ years of hands-on experience in software development and specialized biomedical system administration
  • Hands-on expertise with MarkLogic and MongoDB document databases, including complex data migration between platforms
  • Strong experience with AWS services, including:
  • Secrets Manager
  • Elastic Beanstalk
  • EC2
  • (supporting secure, compliant deployments in regulated environments)
  • In-depth experience working with FDA, AACT, and ClinicalTrials.gov datasets and APIs, including regulatory data standards and integration techniques

including large-scale ingestion, normalization, and semantic integration

  • Direct, production-level experience with NLP, GenAI, and LLM-based agentic frameworks, applied to real-world biomedical use cases (e.g., semantic search, knowledge graphs)
  • Strong full-stack engineering skills, including:
  • Modern frontend frameworks (Vue.js or equivalent)
  • Backend API design
  • Cloud-based microservices architectures tailored to scientific workflows

Preferred Qualifications

  • Prior ownership or stewardship of custom-built biomedical knowledge or information systems with complex, multi-source data pipelines
  • Documented contributions to FDA regulatory information systems
  • Experience collaborating on scientific publication analytics or biomedical knowledge platforms

Education

  • Bachelor’s degree in Computer Science, Bioinformatics, or a related discipline
  • Minimum 3 years of dedicated experience in software development and biomedical systems engineering


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