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Medical Informatics Engineering Jobs in Ohio (NOW HIRING)

$80 - $100/hr

Successfully completed studies in Computer Science, Business Informatics, Engineering, Information ... Experience within regulated industries such as Medical Technology, Pharmaceuticals, or Life ...

Manager-Clinical Engineering

Cleveland, OH · On-site

$95K - $123K/yr

METROHEALTH MEDICAL CENTER Biweekly Hours: 80.00 Shift: 7:30-4:00 The MetroHealth System is ... Works in a project management and informatics coordinator capacity to ensure interdepartmental ...

Work alongside operational and medical leads to contribute innovative data products (primarily ... Bachelor's in informatics, computer science/engineering, biomedical engineering, health information ...

Work alongside operational and medical leads to contribute innovative data products (primarily ... Bachelor's in informatics, computer science/engineering, biomedical engineering, health information ...

Work alongside operational and medical leads to contribute innovative data products (primarily ... Bachelor's in informatics, computer science/engineering, biomedical engineering, health information ...

Work alongside operational and medical leads to contribute innovative data products (primarily ... Bachelor's in informatics, computer science/engineering, biomedical engineering, health information ...

Work alongside operational and medical leads to contribute innovative data products (primarily ... Bachelor's in informatics, computer science/engineering, biomedical engineering, health information ...

CSols Inc. is the leading Laboratory Informatics Solutions Provider in North America. We prioritize ... S. in Data Engineering, Computer Science, Information Systems, Software Engineering, or a related ...

Showing results 21-40

Medical Informatics Engineering information

See Ohio salary details

$40.4K

$93.6K

$158.3K

How much do medical informatics engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for medical informatics engineering in Ohio is $93,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is medical informatics engineering?

Medical Informatics Engineering is a multidisciplinary field that combines healthcare, information technology, and engineering to design, develop, and implement systems for managing medical data and improving patient care. Professionals in this field work on electronic health records, medical imaging systems, healthcare analytics, and interoperability solutions. Their goal is to enhance the efficiency, accuracy, and accessibility of healthcare information, ultimately supporting better clinical decision-making and patient outcomes.

What are the key skills and qualifications needed to thrive as a medical informatics engineer?

To thrive as a Medical Informatics Engineer, you need a strong background in computer science, healthcare systems, and data analysis, often supported by a degree in informatics, biomedical engineering, or a related field. Familiarity with programming languages (such as Python or Java), electronic health record (EHR) systems, HL7/FHIR standards, and relevant certifications like Certified Professional in Healthcare Information and Management Systems (CPHIMS) are typically required. Strong problem-solving, communication, and project management skills help bridge the gap between technical teams and healthcare professionals. These skills and qualifications are crucial for developing effective health information solutions that improve patient care and streamline clinical workflows.

What are some common challenges faced by professionals in medical informatics engineering, and how can they be addressed?

Medical Informatics Engineers often encounter challenges such as integrating new technologies with legacy healthcare systems, ensuring data security and patient privacy, and facilitating effective communication between clinical and IT teams. Addressing these requires staying current with healthcare regulations, building strong interdisciplinary relationships, and developing robust data management protocols. Proactive collaboration with clinicians and regular training on emerging standards like HL7 and FHIR also help professionals succeed in this dynamic field.

What is the difference between Medical Informatics Engineering vs Medical Data Analyst?

AspectMedical Informatics EngineeringMedical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Health Informatics, or related fields; certifications like CAHIMS or CPHIMSBachelor's or Master's in Health Informatics, Data Science, or related fields; certifications like Certified Health Data Analyst (CHDA)
Work EnvironmentHospitals, healthcare IT companies, research institutionsHospitals, clinics, healthcare consulting firms, research organizations
Employer & Industry UsageHealthcare providers, medical device companies, health IT vendorsHealthcare organizations, insurance companies, research institutions

Medical Informatics Engineering focuses on designing and implementing healthcare information systems, while Medical Data Analysts interpret healthcare data to improve patient outcomes. Both roles require health informatics knowledge but differ in technical and analytical emphasis.

What are popular job titles related to Medical Informatics Engineering jobs in Ohio?

For Medical Informatics Engineering jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Medical Informatics Engineering jobs in Ohio look for?

The top searched job categories for Medical Informatics Engineering jobs in Ohio are:

Infographic showing various Medical Informatics Engineering job openings in Ohio as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 15% Part Time, 7% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $93,557 per year, or $45 per hour.

Semantic Product Information Architect (f/m/d)

On-site

$80 - $100/hr

Other

Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Semantic Product Information Architect (f/m/d) Job Description

You’re an important part of our future. Hopefully, we're also a part of your future! At B. Braun, we protect and improve the health of people worldwide. You support this vision, bringing expertise and sharing innovation, efficiency and sustainability as values. That’s why we would like to keep developing our company with you. Keeping your future in mind, we’re making a joint contribution to health care worldwide, with trust, transparency and appreciation. That's Sharing Expertise.

Semantic Product Information Architect (f/m/d) Company: B. Braun SE Job Location: Melsungen, Hessen, Germany Functional Area: Research and Development Working Model: Hybrid Requisition ID: 13255

Build the Semantic Foundation of the Digital Product Lifecycle

The Corporate PLM Office and the Center of Competence (CoC) PLM are shaping the future of Product Lifecycle Management at B. Braun. As part of this journey, we are establishing a company-wide semantic information landscape that enables product information to be understood, connected, governed, and reused across systems, processes, and organizational boundaries.

To strengthen our team, we are looking for an experienced Semantic Product Information Architect (m/f/d). In this strategically important role, you will define, harmonize, and govern product-related information models, creating the semantic foundation for Digital Thread capabilities, advanced analytics, AI-driven solutions, and data-centric business processes.

You will work closely with stakeholders across PLM, the Corporate Data Framework (CDF), Data Intelligence Platform (DIP), Enterprise Architecture, and business functions involved throughout the product lifecycle.

Duties and Responsibilities:
  • Define, model, and maintain semantic information structures within the product data landscape.
  • Design and evolve a consistent semantic information model spanning the entire product lifecycle.
  • Establish and maintain semantic relationships, mappings, and traceability between information objects and system data records.
  • Define information objects, attributes, relationships, and business semantics in alignment with enterprise standards.
  • Harmonize product-related terminology, definitions, and information concepts across business units and functions.
  • Ensure consistency between semantic information models and implemented data structures within PLM and connected systems.
  • Support the development of Digital Thread, traceability, and product reference framework concepts.
  • Analyze and structure complex relationships between products, variants, components, documentation, and regulatory information.
  • Collaborate closely with Corporate Data Framework and Data Intelligence Platform teams to align enterprise information models.
  • Define and coordinate product-related information objects for enterprise-wide publication and reuse.
  • Contribute to the development and implementation of company-wide information standards and governance practices.
  • Facilitate workshops to drive information harmonization and semantic alignment across domains.
  • Advise business and functional teams on semantic modeling and product information architecture topics.
  • Support projects in defining and implementing standardized information models.
  • Document and communicate semantic standards, modeling principles, and governance guidelines.
Professional Competencies:
  • Successfully completed studies in Computer Science, Business Informatics, Engineering, Information Management, or a comparable field.
  • Several years of professional experience in one or more of the following areas:
    • Product Lifecycle Management (PLM)
    • Information Architecture
    • Enterprise Information Management
    • Data Governance
    • Master Data Management (MDM)
    • Knowledge Graphs
    • Semantic Technologies / Semantic Web
  • Strong understanding of product data structures and product development processes.
  • Experience in modeling information entities, relationships, metadata, and conceptual data models.
  • Knowledge of semantic modeling methodologies, ontologies, taxonomies, or knowledge graphs is considered an advantage.
  • Experience with enterprise data platforms, data catalogs, governance solutions, or information management environments is desirable.
  • Basic understanding of Systems Engineering, Model-Based Systems Engineering (MBSE), or Enterprise Architecture is beneficial.
  • Experience within regulated industries such as Medical Technology, Pharmaceuticals, or Life Sciences is an advantage.
  • Strong understanding of data quality, information governance, and information lifecycle management principles.
Personal Competencies:
  • Strong analytical and conceptual thinking skills.
  • Ability to translate complex concepts into structured, understandable, and actionable solutions.
  • Excellent communication, moderation, and stakeholder management skills.
  • Strong collaboration skills with interdisciplinary and international teams.
  • Structured, proactive, and solution-oriented working style.
  • Ability to drive alignment and consensus across organizational boundaries.
  • Passion for information management, digital transformation, and data-driven innovation.
  • High level of ownership, curiosity, and continuous improvement mindset.

Benefits:

  • Corporate networks
  • Company pension scheme
  • Mobility benefits, e.g., the B. Braun job ticket or job bike
  • Family‑friendly offerings, such as vacation childcare
  • Flexible working hours, including flextime and remote work options
  • Employee discounts

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