Clinical Software Analyst

Health Data Max is seeking a motivated **Clinical Software Analyst ** to support the development and implementation of our Clinical AI and healthcare analytics platform.
Prior full-time professional experience is not required. Candidates may demonstrate relevant knowledge through university coursework, research, internships, healthcare experience, certifications, or academic projects.

The analyst/engineer will work with clinical, product, engineering, and data teams to analyze healthcare datasets, document business requirements, validate data workflows, and help translate healthcare operational needs into technology solutions. The analyst/engineer will act as PM for client implementation projects and assist with testing the application for deployment. 

## Key Responsibilities

* Analyze healthcare data from claims, encounters, electronic health records, eligibility files, medical charts, and other clinical and administrative sources.
* Assist in documenting business and functional requirements for healthcare analytics and Clinical AI applications.
* Review data elements, file layouts, data dictionaries, and mapping specifications.
* Help map healthcare data fields across source systems, application databases, and reporting outputs.
* Analyze professional, institutional, pharmacy, and encounter data to identify trends, gaps, inconsistencies, and data-quality issues.
* Support the validation of diagnosis, procedure, provider, member, and service-date information.
* Assist with reconciliation of claims, encounter submissions, clinical records, and healthcare reporting outputs.
* Review application workflows and help validate whether system results align with documented business and clinical requirements.
* Create user stories, workflow diagrams, acceptance criteria, test scenarios, and business-process documentation.
* Participate in user-acceptance testing and document defects, unexpected results, and recommended improvements.
* Collaborate with software engineers, data analysts, clinical reviewers, medical coders, and business stakeholders.
* Assist with the preparation of dashboards, operational reports, implementation materials, and client-facing documentation.
* Research healthcare policies, coding guidelines, and data standards relevant to product requirements.
* Support product demonstrations, implementation meetings, and internal discussions by documenting requirements and action items.

## Healthcare Data Exposure

Candidates should have familiarity with, or a strong interest in learning about, healthcare datasets such as:

* Medical and pharmacy claims
* Encounter data
* Electronic Health Record data
* Medical chart and clinical documentation data
* Member eligibility and enrollment data
* Provider and facility data
* Laboratory and diagnostic data
* Risk-adjustment and value-based care datasets
* Healthcare financial and payment data

## Clinical and Administrative Code Sets

Familiarity with one or more of the following is preferred:

* ICD-10-CM diagnosis codes
* ICD-10-PCS procedure codes
* CPT procedure codes
* HCPCS codes
* National Drug Codes
* Diagnosis-Related Groups
* Revenue codes
* Place-of-service codes
* LOINC laboratory terminology
* SNOMED CT clinical terminology
* National Provider Identifier data
* Healthcare Common Procedure Coding System data

Candidates are not expected to be expert medical coders. However, they should be comfortable learning how healthcare code sets are used to represent diagnoses, procedures, services, medications, and clinical findings.

## Required Qualifications

* Recently graduated or pursuing a master’s degree at a U.S. university in Health Informatics, Healthcare Administration, Public Health, Business Analytics, Data Analytics, Information Systems, Biomedical Informatics, Nursing Informatics, Computer Science, or a related field.
* General understanding of the U.S. healthcare system.
* Familiarity with healthcare claims, encounters, EHRs, medical terminology, or clinical data.
* Strong analytical, research, documentation, and problem-solving skills.
* Ability to organize complex information and communicate it clearly to technical and nontechnical stakeholders.
* Working knowledge of Microsoft Excel or similar data-analysis tools.
* Ability to review structured datasets and identify missing, inconsistent, or unusual information.
* Strong written and verbal communication skills.
* Ability to work effectively in a remote and collaborative environment.

## Preferred Qualifications

Academic, internship, research, or project-based exposure to one or more of the following is preferred:

* Medicare Advantage, Medicaid, commercial insurance, or Affordable Care Act programs
* Risk adjustment, quality improvement, population health, or value-based care
* Medical coding or clinical documentation
* Claims adjudication or encounter-submission processes
* EHR systems and clinical workflows
* HIPAA and healthcare data privacy
* SQL, Python, Power BI, Tableau, or other data-analysis tools
* FHIR, HL7, X12, CCDA, or healthcare interoperability standards
* User stories, process mapping, requirements gathering, or user-acceptance testing
* Agile software-development methodologies
* Artificial intelligence, natural language processing, or healthcare analytics

Experience gained through coursework, capstone projects, research assignments, student organizations, or personal projects will be considered.

## Sample Internship Projects