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Clinical Informaticist​/Analyst

Job in Reading, Berks County, Pennsylvania, 19610, USA
Listing for: TALENT Software Services
Full Time position
Listed on 2026-08-29
Job specializations:
  • Healthcare
    Health Informatics
Salary/Wage Range or Industry Benchmark: 95000 - 135000 USD Yearly USD 95000.00 135000.00 YEAR
Job Description & How to Apply Below

JOB SUMMARY

This job promotes the understanding, integration, and use of healthcare data and information technology in support of scholarly research and addressing healthcare business challenges. Leveraging experience in and knowledge of clinical, technology, and data subject areas, the informaticist will play a crucial role in the design and development of fit-for-purpose research databases (or data sets) and analytic solutions. Their expertise in informatics will be used to tackle research questions of clinical and financial significance to the business, its customers, and the population ve as a liaison between physicians and research staff to translate data needs and assist in interpretation of analytic findings.

ESSENTIAL

RESPONSIBILITIES
  • Combine knowledge of healthcare and experience in clinical settings to deliver value and insights through enterprise-grade data & analytic solutions.
  • Provide subject matter expertise related to the use of clinical ontologies, vocabularies and code sets in support of internally- and externally-sourced data. Includes support for bi-directional interoperability efforts across the enterprise.
  • In coordination with Enterprise Data Governance, assist with the development of business rules and associated code-based definitions related to clinical data domains. Includes but is not limited to sensitive data classification, disease states, clinical episodes, reimbursement episodes, pharamacy use, and care plans.
  • Work with teams across health plan, clinical, administrative, and IT business units to understand clinical data needs, evaluate opportunities to fullfill those needs through data and analytics, and participate in the build and delivery of analytic solutions.
  • Assist with design, build and deployment of robust analytic data solutions including but not limited to real-time/streaming analytics and alerting, data integration and interoperability, NLP, and AI/ML algorithms. Includes processes to convert prototypes into production solutions.
  • Provide clinical process and system expertise and training.
  • Other duties as assigned or requested.
EDUCATION Required
  • Bachelor's Degree in Nursing, Informatics, Health Information Management, Information Systems or related field, or relevant experience and/or education as determined by the company in lieu of bachelor's degree
Preferred
  • Master's Degree in Nursing, Informatics, Health Information Management, Information Systems or related field
EXPERIENCE Required
  • 5 years of working in a Clinical Care setting - e.g., ambulatory, hospital, post-acute
  • 3 years of hands-on experience with Electronic Health Record (EHR) system like EPIC, Cerner, Allscripts, or comparable
Preferred
  • 3 years in Clinical Workflow, Clinical Systems, and the underlying data used to support clinical decision-making
  • 3 years in Data Analysis, Analytics, Business Intelligence or Reporting
  • 1+ years of working with healthcare claims data
  • Experience supporting academic or scholarly research, including preparation of manuscripts and associated data documentation and reporting standards
LICENSES or CERTIFICATIONS Required
  • None
Preferred
  • Clinical licensure (e.g., nursing) OR
  • Clinical coding certification
SKILLS
  • Analytically strong and familiar with clinical informatics concepts, practices, and procedures
  • Experience with healthcare vocabularies and code sets including ICD-10, CPT/HCPCS, SNOMED-CT, LOINC, and Rx Norm
  • Familiarity with healthcare interoperability concepts including HL7 v2.x, FHIR, IHE, X12
  • Strong communication skills
Preferred
  • Intermediate to advanced SQL coding skills
  • Familiarity with R / R Studio with basic R coding skills
  • Proficiency in data cleaning, preparation
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