Remote Biomedical Knowledge Systems Engineer

Marlborough, NH - USA

Hourly Salary: $ 38 - 39

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

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 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 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 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 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

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...

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 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 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 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 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