Senior Clinical Specialist

AMPLIFY HEALTH ASIA PTE. LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

AMPLIFY HEALTH ASIA PTE. LIMITED is seeking a pivotal role to drive execution, development, and optimization of clinical coding and encoded data solutions across global and APAC markets.

This position blends hands-on coding with data standardization, automation, and GenAI prompt design to support scalable healthcare products. You will collaborate with product, data science, and clinical teams to improve coding accuracy, build robust Ground Truth datasets, and guide stakeholder engagements.

Qualifications

• Graduate health care qualification required; MBBS, BDS, BHMS, BAMS, Physiotherapy, Pharmacy or other medical field.
• Master’s degree in Health Informatics or Clinical Sciences preferred.
• 5+ years in health insurance, clinical coding, or claims analytics in Asia or globally.
• Deep knowledge of clinical coding assets, terminologies, billing practices, and regulatory frameworks.
• Strong stakeholder management and communication across clinical, operational, regulatory domains.

Responsibilities

• Drive execution and development of coding frameworks and assets across the portfolio.
• Coordinate with product, data science, and clinical teams to enhance AI-driven solutions.
• Develop GenAI prompts and training data for coding automation and model accuracy.
• Stay updated on international and APAC coding standards and regulatory changes.
• Oversee annotation, validation, and quality audits across terminologies.
• Support capability building, SOPs, and training for coding teams.
• Lead cross-portfolio SME input on data standardization and AI use cases.

Skills

Clinical coding

Data standardization

GenAI prompts

Prompt engineering

Automation

Stakeholder management

Education

Graduate health care qualification

Master’s degree in Health Informatics

Tools

Excel

Access

PowerPoint

SQL

Python

Azure Databricks

Job description

The Position

Summary

The position plays a critical role in driving theexecution, development, and optimization of clinical coding and encoded data solutions across global and APAC markets.This role combines hands-on expertise inclinical coding, data standardization, and automation with emerging capabilities such as GenAI prompt development and billing schema design.

The role is responsible for supporting end-to-end annotation, validation, research, and coding framework development, while ensuring high data quality, clinical relevance, and scalability. Acting as a key bridge betweenstrategy and execution, the role collaborates closely with product, data science, and clinical teamsto enhance AI-driven solutions, improve coding accuracy, and enable robust data-driven healthcare products.

Also, the role contributes to stakeholder coordination, team capability building, and continuous innovation throughresearch, data assessments, and implementation of best practices,ensuring alignment with organizational and Clinical Informatics objectives.

Responsibilities

1. Coding Portfolio Execution & Development

• Support end-to-end clinical annotation, validation, andcoding asset developmentactivities across the portfolio.

• Drive improvements in encoded data coverage, accuracy, usability, and scalability aligned with global and regional implementations.
• Contribute to thedesign and development of coding frameworks, including:

• Foundation and expansion of AH Billing Code across Clinical Domains
• Assist with Crosswalks / mappings having downstream impact on AH products

• Develop and refineGenAI prompts and training datasetsto enhance clinical coding automation and model accuracy.

• Collaborate with coding, interface, and data science teams to implement enhancements supporting automation and scalable workflows.

• Track performance metrics and identify opportunities to optimize encoded data and coding outputs.

2. Stakeholder Coordination

• Engage regularly with internal stakeholders (product, data science, analysts, coders) to align delivery priorities and coding requirements.
• Support external stakeholder engagements (clients, providers, regulators) to ensure coding standards and expectations are met.
• Facilitate working sessions, requirement discussions, and feedback loops to ensure alignment and continuous improvement.
• Act as a key contact for coding-related clarifications and cross-team coordination.

3. Product & AI Enablement Support

• Partner with product and data science teams to:

• Improve product features through enhanced coding logic
• SupportGenAI model development using structured coding inputs and prompt engineering
• Provide ongoing support for coding-related initiatives (e.g., Rules & Benefits, Asset Management).
• Contribute tosolution design, requirement gathering, and feature validationfor healthcare products.

4. Coding Research & Innovation

• Stay updated on international and APAC coding standards, classifications, billing practices, and regulatory changes.
• Conduct in-depthcoding research and benchmarkingacross global healthcare systems (US, Canada, Australia, etc.).
• Extract and apply methodologies from leading healthcare organizations to strengthen internal coding practices.
• Collaborate with actuarial, data science, and clinical teams to ensure solutions are evidence-based and business-aligned.

5. Annotation, Validation & Quality Assurance

• Oversee and contribute to annotation and validation across terminologies (ICD, CPT, SNOMED CT, LOINC, ATC, etc.).
• Ensure encoded data is clinically accurate, contextually relevant, and aligned with workflows and downstream use cases.
• Perform audits, quality checks, and variance analysis to ensure data integrity.
• Investigate discrepancies and propose resolution strategies for escalations.
• Review peer outputs, challenge assumptions, and provide structured feedback for continuous improvement.
• Support integration of validated data intoGround Truth datasetsfor analytics and AI modelling.

6. Clinical Data Assessment & Standardization

• Support and executemarket-specific data assessments, including:

• Data profiling and gap analysis
• Feasibility and readiness for coding standardization

• Contribute toschema design and data model validation, including:

• Clinical and billing schema
• Property structures and metadata frameworks

• Ensure alignment of data structures with clinical workflows, regulatory standards, and business use cases.

7. Team Support, Operations & Capability Building

• Contribute to creation and maintenance of SOPs, coding principles, and validation guidelines.
• Support sprint planning, backlog grooming, and execution tracking.
• Ensure all documentation is updated and aligned with regulatory and operational standards.
• Provide training and mentorship including:

• Coding validation approaches
• Market-specific requirements
• Use of automation and AI tools in coding

• Support capability building of team members and mentor junior coders.
• Facilitate knowledge sharing across regional and global teams.

8. Cross-Portfolio SME Support

• Act as a Subject Matter Expert (SME) across clinical portfolios.
• Provide expert input on:

• Coding frameworks
• Data standardization
• AI/GenAI use cases in coding

• Review outputs, provide actionable feedback, and ensure alignment with Clinical Informatics strategy.

Candidate Profile

Experience and Qualifications

The following requirements are essential:

• Graduate Health Care qualificationrequired,preferred academicbackground: MBBS, BDS, BHMS, BAMS, Physiotherapy, Pharmacy or any other medical field.
• Master’s degree inHealthInformatics,Clinical Sciences, Public Health,or Health Administration would bepreferred.
• 5+ years of experience in health insurance, clinical coding, or claims analyticswithin Asia, or more globally, would be an advantage
• Deep knowledge ofclinical coding assets, clinical terminologies, healthcare billing practices, and regulatory frameworks.
• Strong stakeholder management and communication skills across clinical, operational, and regulatory domains.

Competencies & Core Characteristics:

Technical understanding

A working understanding of the data used in healthcare isoptimalas data forms the basis of our products, as suchthe following core understandings arerequired:

• Understanding of healthcare specific data
• Reasonable competence in use of Microsoft Office suite oftoolsespecially Excel,Accessand PowerPoint.
• Knowledge of patient health management, provider profiling, healthcare reporting, and other keyhealthcare technologies, etc.
• Detailed knowledge and working experience of clinical tools and international coding including groupers,crosswalksand classification systems

The following understandings areadvantageoushowever notessential:

• SQL, python, and advanced excel
• Understanding of advanced statistics, risk adjustment and health outcome indices and metrics
• Knowledge of usage of data science in the healthcare space
• Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.)

Behavioralskills

• Demonstrated ability to effectively lead and actively manage teams of experienced clinical,multidisciplinary experts in their fields
• Exceptional communication skills across a wide range of stakeholders
• Ability to work cohesively in a team environment while balancing multiple priorities
• High levelof attention to detail, resilience, enthusiasm,energyand drive
• Positive, can-do attitude focused on continuous improvement
• Ability to take feedback and constructive criticism to drive improved delivery
• Rigorous ability to solve problems andoptimizeenvironment
• Excellent co-ordination skills