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Amazon Biomedical Engineering Jobs (NOW HIRING)

Apolis

Knowledge Engineer II

Bloomfield, NJ · On-site

Master''s degree in BioSciences, Biomedical Science, Biomedical Engineering, Biotechnology, or a ... Experience with graph databases including Neo4j, Amazon Neptune, Stardog, GraphDB, or TigerGraph.

Amazon

Sr. Ergonomist, Global Ergonomics

Nashville, TN · On-site

... biomedical engineering or related fields with emphasis on ergonomics/biomechanics PREFERRED ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Nova Biomedical

Staff DevOps Engineer

Waltham, MA · On-site

$57 - $78/hr

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Implement scalable, secure, and resilient cloud infrastructure solutions utilizing Amazon Web ...

Nova Biomedical

Staff DevOps Engineer

Waltham, MA · On-site

$57.50 - $78.50/hr

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Implement scalable, secure, and resilient cloud infrastructure solutions utilizing Amazon Web ...

Nova Biomedical

Staff DevOps Engineer

Waltham, MA · On-site

$57.50 - $78.50/hr

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Implement scalable, secure, and resilient cloud infrastructure solutions utilizing Amazon Web ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... Computer Science, Biomedical Engineering, Electrical Engineering, Data science, Physics ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

MSD

Associate Director, AI/ML Engineering

Cambridge, MA · On-site

$64K - $65K/yr

PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics ... Amazon Web Services (AWS), Databricks Platform, Google Cloud Platform (GCP) for Machine Learning ...

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Amazon Biomedical Engineering information

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$41K

$94.8K

$140K

How much do amazon biomedical engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for amazon biomedical engineering in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an Amazon biomedical engineering job?

An Amazon Biomedical Engineering job involves applying engineering principles to healthcare-related technologies, primarily in Amazon’s healthcare, supply chain, and research initiatives. Professionals in this role may work on medical device development, healthcare logistics optimization, or AI-driven diagnostics. They collaborate with data scientists, software engineers, and healthcare professionals to improve medical systems and patient care. Responsibilities can include designing, testing, and improving biomedical equipment or infrastructure within Amazon’s expanding healthcare ecosystem.

Is there a high demand for Amazon biomedical engineers?

Biomedical engineering roles at Amazon are in high demand due to the company's focus on healthcare technology and innovation. These positions often require skills in medical device development, data analysis, and familiarity with regulatory standards, reflecting a strong industry growth trend.

What are the main responsibilities of a biomedical engineer at Amazon?

Biomedical Engineers at Amazon focus on developing, testing, and improving health-related devices, systems, or solutions that support Amazon’s healthcare initiatives or logistics involving medical products. Their tasks commonly include collaborating with cross-functional teams—such as software developers, operations, and quality assurance—to design and optimize biomedical products, ensure compliance with regulatory standards, and assess product safety and efficacy. They may also participate in data analysis and process improvements to enhance operational efficiency. This role is crucial in helping Amazon drive innovation in healthcare technology while maintaining high standards for safety, effectiveness, and customer satisfaction.

What are the key skills and qualifications needed for Amazon biomedical engineering?

To thrive in an Amazon Biomedical Engineering role, you need a solid background in biomedical engineering, life sciences, or a related field, supported by relevant degrees and experience. Familiarity with medical device development, data analytics platforms, regulatory compliance, and quality management systems such as ISO 13485 is typically required. Strong problem-solving abilities, collaboration, and clear communication skills distinguish top performers in this position. These competencies enable effective innovation, ensure regulatory compliance, and support teamwork in a rapidly evolving healthcare technology environment.

Does Amazon hire biomedical engineers?

Amazon hires biomedical engineers for roles related to healthcare technology, medical device development, and health data analysis. These positions often require knowledge of biomedical systems, engineering principles, and relevant certifications or advanced degrees. Opportunities are available in Amazon's healthcare divisions and innovation labs.
More about Amazon Biomedical Engineering jobs
What cities are hiring for Amazon Biomedical Engineering jobs? Cities with the most Amazon Biomedical Engineering job openings:
What are the most commonly searched types of Amazon Biomedical Engineering jobs? The most popular types of Amazon Biomedical Engineering jobs are:
What states have the most Amazon Biomedical Engineering jobs? States with the most job openings for Amazon Biomedical Engineering jobs include:
What job categories do people searching Amazon Biomedical Engineering jobs look for? The top searched job categories for Amazon Biomedical Engineering jobs are:
Amazon Biomedical Engineering jobs near you
Infographic showing various Amazon Biomedical Engineering job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

Knowledge Engineer II

Apolis

Bloomfield, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Knowledge Engineer II

Location: Remote (USA)

Job Summary

We are seeking a highly skilled Knowledge Engineer II to join our team and contribute to the development of enterprise-scale Knowledge Graph solutions within the life sciences domain. The ideal candidate will possess expertise in ontology engineering, semantic web technologies, linked data, and biomedical ontologies. This role involves designing semantic data models, implementing knowledge graph architectures, supporting AI/LLM initiatives, and enabling advanced data integration for research and analytics.

Key Responsibilities
  • Design, develop, and maintain enterprise Knowledge Graphs for life sciences and biomedical applications.
  • Define semantic data models, ontology structures, entity relationships, and schema governance standards.
  • Develop and maintain RDF-based knowledge models using semantic web technologies.
  • Build ontology mappings and vocabulary alignment using industry-standard biomedical ontologies.
  • Create and maintain SPARQL queries, OWL ontologies, SKOS vocabularies, SHACL constraints, and RML/R2RML mappings.
  • Implement linked data principles and semantic interoperability across enterprise data platforms.
  • Develop data serialization models using JSON Schema, LinkML, and related standards.
  • Write Python scripts for ontology mapping, metadata enrichment, data validation, and automation.
  • Support AI and LLM initiatives through entity linking, metadata enrichment, embedding pipelines, and Retrieval-Augmented Generation (RAG) solutions.
  • Collaborate with data engineers, architects, and business stakeholders to build scalable semantic data solutions.
  • Ensure data quality, governance, and consistency across knowledge graph implementations.
  • Document technical designs, ontology standards, and best practices.
Required Qualifications
  • Master''s degree in BioSciences, Biomedical Science, Biomedical Engineering, Biotechnology, or a related Life Sciences discipline.
  • 6+ years of experience in Knowledge Graph development and semantic technologies.
  • Hands-on experience with:
    • Knowledge Graph development
    • Entity modeling
    • Relationship design
    • R2RML
    • Schema governance
  • Strong expertise in:
    • Protégé
    • SPARQL
    • OWL
    • SKOS
    • SHACL
    • RML
    • RDF-Star
  • Working knowledge of biomedical and life sciences ontologies, including:
    • Gene Ontology (GO)
    • OBO Foundry Ontologies (CL, UBERON, HPO, MONDO, CHEBI, EFO, CLO)
    • MeSH
    • SNOMED CT
    • UMLS
  • Strong understanding of linked data principles and Semantic Web technologies.
  • Experience with JSON Schema, LinkML, or equivalent data serialization frameworks.
  • Proficiency in Python for scripting, data modeling, automation, and quality validation.
  • Experience supporting AI/LLM workflows and semantic data integration.
Preferred Qualifications
  • Experience with data governance and data quality tools such as Ataccama, Informatica, Talend, OpenRefine, Great Expectations, or dbt.
  • Experience building AI-ready knowledge ecosystems, including:
    • Metadata enrichment
    • Entity linking
    • Embedding pipelines
    • Retrieval-Augmented Generation (RAG)
  • Understanding of vector databases such as Weaviate and Chroma.
  • Experience with graph databases including Neo4j, Amazon Neptune, Stardog, GraphDB, or TigerGraph.
  • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience designing scalable semantic data pipelines for enterprise life sciences applications.

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