Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance, and financial services, and property and casualty insurance.

Role Summary

We are seeking a Clinical Coding & Claims Analytics Consultant with experience in clinical coding, medical claims analysis, reimbursement methodologies, and healthcare consulting. The role will support the development of clinical rules for claims adjudication, conduct coding and reimbursement analytics, contribute to DRG and grouper mapping initiatives, and support consulting projects for healthcare payers, providers, and health system stakeholders.

The ideal candidate should possess strong knowledge of clinical coding systems, health insurance operations, claims adjudication workflows, reimbursement frameworks, and healthcare data analytics, with exposure to healthcare markets across the Middle East.

Key Responsibilities

Clinical Coding & Classification

Perform clinical coding reviews and code mapping across healthcare coding and classification systems - ICD-10-AM, ACHI, SBS and ADRG / AR-DRG
Ensure coding consistency and compliance with applicable coding standards, reimbursement guidelines, and payer policies.
Support coding validation exercises, reimbursement reviews, and clinical classification projects.

Data Quality & Insights

Conduct healthcare data quality assessments and identify opportunities for process improvement.
Interpret payer policies, reimbursement guidelines, and regulatory requirements relevant to claims adjudication and coding practices.
Generate actionable insights from claims and clinical data to support decision-making and operational improvements.

Claims Analytics & Reimbursement

Analyze structured and unstructured medical claims data to identify coding discrepancies, billing anomalies, utilization patterns, and reimbursement opportunities.
Support payment integrity initiatives through identification of inappropriate billing, coding errors, duplicate claims, and reimbursement leakage.
Contribute to DRG grouper validation, fee schedule development, reimbursement modelling, and healthcare costing initiatives.

Clinical Rules & Product Development

Support the design, development, testing, and validation of clinical rules used in medical claims adjudication and payment integrity programs.
Define clinical logic for medical necessity review, coding validation, reimbursement controls, benefit interpretation, and claims editing.
Participate in user acceptance testing (UAT) and validation of clinical rule engines and adjudication systems.

Healthcare Consulting & Project Delivery

Support consulting projects related to:

Clinical code mapping
Claims audits
Claims analytics
DRG implementation

Develop analytical reports, presentations, client deliverables, and documentation.
Participate in stakeholder discussions and support project execution across multiple workstreams.

Required Qualifications

Bachelor's degree in Medicine, Dentistry, Nursing, Pharmacy, Life Sciences, Health Information Management, Healthcare Management, or a related healthcare discipline.
ICD-10-AM/ACHI, ACS, AHIMA, RHIA, RHIT certifications and working knowledge of coding systems such as ICD-10-AM, ACHI, and AR-DRG.
2-4 years of experience in clinical coding, health insurance, claims analytics, healthcare consulting, revenue cycle management, or reimbursement analysis.
Strong understanding of:

Clinical coding standards
Medical claims lifecycle
Health insurance operations
Claims adjudication workflows

Experience performing claims reviews, coding audits, reimbursement analyses.
Strong analytical, problem-solving, and documentation skills.
Advanced proficiency in Microsoft Excel or similar analytics tools is preferred.
Ability to work effectively within multidisciplinary teams and manage multiple project priorities.

Clinical Analyst