Global Channel Management, Inc.
11 - 50 employees
🎯 Recruiter
🤝 B2B
☁️ SaaS
Recruitment • B2B • SaaS
Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.
Biomedical Knowledge Systems Engineer
Job not on LinkedIn
🕒 January 23
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Global Channel Management, Inc.
11 - 50 employees
🎯 Recruiter
🤝 B2B
☁️ SaaS
Recruitment • B2B • SaaS
Global Channel Management, Inc. is a technology company that specializes in recruiting and staff augmentation services. With over a decade of experience, their account managers and recruiters help organizations address challenges in acquiring skilled talent, manage fluctuating skill needs, and reduce training and labor costs. They focus on providing companies with the best talent to meet various staffing needs and timelines across different verticals.
📋 Description
• 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
🎯 Requirements
• 3 years dedicated experience in software development • Extensive knowledge and hands-on experience with both MarkLogic and MongoDB document databases • Bachelor's degree in Computer Science, Bioinformatics, or a related discipline • Demonstrated proficiency in advanced AWS services (Secrets Manager, Elastic Beanstalk, EC2) • In-depth, practical experience with data curation, retrieval, and management using datasets and APIs from FDA, AACT, and clinicaltrials.gov • Proven expertise with NLM biomedical data infrastructures (including PubMed, PMC, and Gene Expression Omnibus) • Direct, production-level experience with NLP, GenAI, LLM agentic frameworks • Highly proficient in full-stack engineering, including modern frontend frameworks (including vue.js or equivalent) • Documented contributions to FDA regulatory information systems • Prior stewardship of unique and custom-built biomedical information systems
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