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Clinical Informatics Jobs in Wakefield, MA (NOW HIRING)

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Clinical Informatics information

See Wakefield, MA salary details

$54.8K

$109.2K

$172.9K

How much do clinical informatics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for clinical informatics in Wakefield, MA is $109,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What is clinical informatics?

Clinical informatics is a field within the discipline of information technology. The purpose of clinical informatics is to implement technology and theories in order to collect, store, and modify clinical information and electronic records to improve patient care and information sharing among healthcare professionals. Clinical informatics investigates the most efficient and user-friendly ways data can be organized, structured, shared, and accessed. It has practical implications for healthcare provision throughout the industry, including at hospitals, clinics, and military and research facilities.

What is clinical informatics?

Clinical informatics is a field that focuses on the use of information technology and data to improve patient care and healthcare outcomes. Professionals in this area work at the intersection of healthcare, computer science, and information management to design, implement, and optimize electronic health records, clinical decision support systems, and other digital tools. Their goal is to streamline healthcare processes, enhance patient safety, and ensure that clinicians have access to accurate and timely information. Clinical informaticists often collaborate with physicians, nurses, IT professionals, and administrators to bridge the gap between clinical practice and technology.

What are the key skills and qualifications needed to thrive as a clinical informatics specialist, and why are they important?

To thrive as a Clinical Informatics specialist, you need a solid background in healthcare, information technology, and data analysis, often supported by a degree in health informatics or a related field. Familiarity with electronic health record (EHR) systems, clinical decision support tools, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are commonly required. Strong problem-solving abilities, effective communication, and the capacity to bridge clinical and technical teams are standout soft skills. These competencies are essential for optimizing healthcare delivery, ensuring data accuracy, and facilitating the adoption of technology in clinical environments.

How does a clinical informatics professional typically collaborate with healthcare providers and IT teams?

Clinical Informatics professionals play a key bridging role between healthcare providers and IT departments. They work closely with clinicians to understand workflow needs and translate those requirements into technical solutions, such as optimizing electronic health records (EHR) or implementing new clinical decision support tools. Regular collaboration involves facilitating training sessions, gathering feedback, and troubleshooting system issues to ensure that technology effectively supports patient care. This cross-functional teamwork is essential for successful adoption and ongoing improvement of health information systems.

What is the difference between Clinical Informatics vs Medical Informatics?

AspectClinical InformaticsMedical Informatics
CredentialsOften requires certifications like CAHIMS or CPHIMSSimilar certifications, with additional focus on broader healthcare data
Work EnvironmentHospitals, clinics, healthcare systemsResearch institutions, healthcare IT companies, academia
Employer & IndustryHealthcare providers, hospitalsHealthcare technology firms, research organizations
Search & Comparison IntentFocuses on clinical settings and patient careEncompasses broader healthcare data management and policy

Clinical Informatics primarily concentrates on applying informatics to improve patient care within clinical settings. Medical Informatics has a broader scope, including healthcare data management, research, and policy. Both roles require similar certifications and often overlap in skills, but their focus areas differ based on work environment and industry applications.

What do you do in clinical informatics?

A clinical informatics professional designs, implements, and manages health information systems to improve patient care and healthcare operations. They analyze data, optimize electronic health records (EHR) systems, and collaborate with healthcare providers to ensure technology supports clinical workflows effectively.

What is the best degree for clinical informatics?

A master's degree in health informatics, healthcare administration, or a related field is typically preferred for clinical informatics roles. Relevant skills include knowledge of healthcare systems, data management, and proficiency with electronic health records (EHR) systems, often supported by certifications like Certified Health Data Analyst (CHDA) or Certified Professional in Healthcare Information and Management Systems (CPHIMS).
More about Clinical Informatics jobs

What cities near Wakefield, MA are hiring for Clinical Informatics jobs?

Cities near Wakefield, MA with the most Clinical Informatics job openings:

Clinical Informatics jobs near you
Infographic showing various Clinical Informatics job openings in Wakefield, MA as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 22% Part Time, and 6% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $109,214 per year, or $52.5 per hour.

Clinical Informatics Specialist

Boston, MA • On-site

InterSystems
See more jobs at InterSystemsexternal

Full-time

Re-posted 24 days ago

Job description

We are seeking a highly skilled Clinical Informatics Specialist to play a pivotal role in the architecture and development of our canonical data model and transformation framework within the InterSystems ecosystem. Focus areas include data modeling, comprehensive documentation, and validating clinical workflows to ensure real-world clinical alignment.

In this role, you will act as the bridge between clinical experts and technical engineering teams.  You will be responsible for translating clinical needs into product requirements, defining complex data mappings, validating clinical logic, and ensuring our data models adhere to global HIT standards (FHIR, HL7v2, CDA, OMOP, etc.) while maintaining the highest standards of patient safety and data privacy.

Key Responsibilities
  1. Data Modeling & Transformation Strategy
  • Manage the governance of the canonical data model definition and maintenance processes in alignment with product strategy, ensuring it supports diverse clinical domains across the care continuum.
  • Design and document detailed logic for data transformations and mappings between various healthcare data standards (e.g., HL7v2, C-CDA, FHIR, X12, OMOP, openEHR).
  • Analyze emerging national and international Implementation Guides and regulatory standards, translating them into technical specifications for the engineering team to support future product capabilities.
  1. Clinical Terminology Management
  • Serve as the subject matter expert on standard terminologies and code sets, (e.g., SNOMED CT, LOINC, ICD-10, CPT/HCPCS, RxNorm).
  • Define concept maps and value sets to ensure semantic interoperability across the platform.
  • Troubleshoot terminology binding issues that arise during data ingestion or exchange.
  1. Clinical Requirements & Translation
  • Collaborate with clinical subject matter experts (SMEs) to gather requirements and translate "clinical intent" into precise technical specifications.
  • Author functional specifications that allow engineers to build robust interoperability pipelines within InterSystems product suite.
  • Act as a translator, explaining complex technical data constraints to clinicians and complex clinical workflows to engineers.
  1. Quality Assurance & Safety Validation
  • Validate data models and transformation logic to ensure they are clinically sound and accurately reflect the patient story.
  • Conduct clinical safety assessments on proposed data structures to identify and mitigate risks related to data loss, misinterpretation, or context stripping.
  • Ensure all data designs comply with privacy regulations (HIPAA, GDPR) and data governance policies.
Qualifications

Education & Experience

  • Clinical Background: Clinical degree (MD, DO, RN, PharmD, NP/PA) with active or previous licensure preferred; OR equivalent deep domain experience in Health Informatics.
  • Informatics Experience: 5+ years of experience in clinical informatics, data modeling, or interoperability analysis.
  • InterSystems Expertise: Proven experience working within InterSystems IRIS for Health or HealthShare environments is highly desired. Experience with other major integration engines combined with a willingness to learn InterSystems technology will also be considered.

Technical Skills & Knowledge

  • Standards: Deep mastery of HL7v2, C-CDA, and FHIR (resources, profiles, and implementation guides). Familiarity with OMOP CDM or openEHR archetypes is a strong plus.
  • Terminologies: Proficiency with LOINC, SNOMED CT, ICD-10, and RxNorm browsers and hierarchy structures.
  • Tools: Experience with mapping tools, SQL, and data modeling software.
  • Regulatory: Understanding of ONC certification rules (USCDI), TEFCA, and CMS interoperability rules.

Competencies

  • Translation: Ability to demystify technical jargon for clinicians and clinical workflows for developers.
  • Analytical Thinking: Strong capability to visualize data flows and identify edge cases in complex clinical scenarios.
  • Communication: Excellent written and verbal communication skills for creating documentation and specifications.
  • Leverage AI-assisted tools (e.g., large language models, copilots) to accelerate documentation, specification authoring, and data mapping workflows - while applying clinical judgment to validate outputs for accuracy and patient safety.
  • AI Fluency: Comfort using AI/LLM-based tools (e.g., coding assistants, document drafting copilots, terminology mapping aids) to improve productivity; ability to critically evaluate AI-generated outputs for clinical correctness and safety.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

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