JOB TITLE: (i-Ready) Associate, Change Management (Health Services Delivery)  

What will you do?

As an associate, change management (health services delivery), you will support the team in ensuring smooth adoption of initiatives by stakeholders while contributing to data-informed decisions and improved service delivery outcomes. You will work closely with cross-functional teams to translate insights into practical actions that support both operational and customer needs.

This role reports to our manager, change management (health services delivery), and is based in Brunei. 

Your key responsibilities include:

• Assist in the development of change management strategies and plans in alignment with project and organizational goals.
• Identify and engage internal and external stakeholders to build awareness, understanding, and support for change initiatives.
• Support impact assessments by collecting, analyzing and organizing relevant data on people, process, and system impacts.
• Contribute to the creation of communication materials to inform stakeholders of change initiatives, including presentations, emails, FAQs, and updates to inform and engage stakeholders.
• Help design, coordinate, and document training sessions and learning materials to support adoption and capability building.
• Provide administrative support in tracking resistance issues and coordinating follow-up actions.
• Maintain accurate and up-to-date documentation related to change management activities, including change plans, stakeholder maps, communication logs, and meeting minutes.
• Collaborate with cross-functional teams such as Project Management, Technical, and Customer Support to ensure alignment and integration of change management activities.
• Support the monitoring and reporting of change effectiveness, stakeholder feedback, and lessons learned to help improve future initiatives.
• Proactively learn and apply change management methodologies, tools, and best practices to support team growth and continuous improvement.

Qualifications and other skills requirements:

• A minimum of a Higher National Diploma in Business, Management, or a higher qualification in a relevant field (or equivalent experience).
• Proficiency in both English and Malay is essential. 
• Basic knowledge of change management principles, techniques, and tools.
• Proven experience in change management or any digital transformation initiatives is a plus.
• Excellent communication and interpersonal skills.
• A team player and able to collaborate with others.
• Able to work independently and take initiative to solve problems.
• Able to manage multiple initiatives simultaneously.

Senior Manager, Medical Data Science

What will you do?

The Senior Manager, Medical Data Science, leads the development and application of advanced analytics and predictive modeling capabilities across EVYD’s digital health and population health solutions.

Reporting to the Head of Medical, this role is responsible for translating structured healthcare data into deployable analytics frameworks and predictive models that demonstrate measurable clinical, operational, and economic value. The role works closely with the Medical Advisory, Medical Data Specialists, Product, Engineering, and Business Intelligence teams to ensure analytics outputs are clinically credible, technically robust, and effectively integrated into EVYD’s products and reporting solutions.

Your key responsibilities include:

• Lead the design, development, validation, and continuous improvement of predictive risk models, population segmentation algorithms, and outcome measurement frameworks. 

• Translate healthcare datasets into deployable analytics solutions that support EVYD’s digital health platforms and population health programs. 

• Define analytical metrics, outcome frameworks, and reporting logic to support dashboards and reporting solutions delivered through Business Intelligence and product teams. 

• Interpret modeling outputs and translate analytical findings into actionable insights for clinical, operational, and strategic decision-making. 

• Supervise and mentor medical data specialists and medical data scientists, ensuring high standards in data logic design, modeling methodology, reproducibility, documentation, and overall technical quality. 

• Work closely with medical data specialists to define analytical datasets, data logic, and extraction requirements required for modeling and analytics initiatives. 

• Collaborate with data engineering teams to operationalize analytics workflows while data engineering retains ownership of data pipelines and infrastructure. 

• Establish internal modeling best practices, documentation standards, and analytical methodologies within the Medical Data Science team. 

• Monitor model performance, bias, and drift, ensuring continuous improvement and responsible analytics practices. 

• Collaborate closely with Medical Advisory to ensure the clinical relevance, interpretability, and defensibility of analytics outputs. 

• Support commercial and stakeholder engagements by clearly articulating the methodology, robustness, and value of analytics-driven solutions. 

• Develop and scale the medical data science team in alignment with organizational growth plans. 

Travel requirements

This role will require occasional travel, up to 20% of the time, to meet our clients and stakeholders in our countries of business.

What skills do you need?

Core Competencies

• Strong foundation in statistical modeling, machine learning, and applied healthcare analytics. 

• Ability to translate complex analytical findings into clear, stakeholder-ready insights. 

• Experience operationalizing analytics solutions within real-world healthcare systems. 

• Strong leadership capability with experience mentoring technical teams. 

• Systems-level thinking and ability to operate effectively in complex healthcare environments. 

• Effective communication skills across technical, clinical, and commercial audiences. 

Qualifications

• Bachelor’s or master's degree in data science, biostatistics, statistics, computer science, health informatics, applied mathematics, or a related quantitative discipline. 

• Typically 8–10 years of experience in healthcare analytics, medical data science, or applied machine learning within healthcare, public health, or HealthTech environments. 

• Demonstrated experience leading analytics or data science teams. 

• Strong hands-on capability in analytics prototyping and technical review; experience with common data science tools and programming languages (e.g., Python, R, SQL) is highly desirable. 

• Experience working with electronic medical records, registries, claims data, or digital health datasets. 

• Experience demonstrating outcomes measurement and value articulation to healthcare stakeholders is highly desirable. 

• An advanced degree (PhD, MPH, or equivalent) is an advantage but not mandatory. 

• Strong written and verbal communication skills in English. 

Senior Manager, Medical Data Science

What will you do?

The Senior Manager, Medical Data Science, leads the development and application of advanced analytics and predictive modeling capabilities across EVYD’s digital health and population health solutions.

Reporting to the Head of Medical, this role is responsible for translating structured healthcare data into deployable analytics frameworks and predictive models that demonstrate measurable clinical, operational, and economic value. The role works closely with the Medical Advisory, Medical Data Specialists, Product, Engineering, and Business Intelligence teams to ensure analytics outputs are clinically credible, technically robust, and effectively integrated into EVYD’s products and reporting solutions.

Your key responsibilities include:

• Lead the design, development, validation, and continuous improvement of predictive risk models, population segmentation algorithms, and outcome measurement frameworks. 

• Translate healthcare datasets into deployable analytics solutions that support EVYD’s digital health platforms and population health programs. 

• Define analytical metrics, outcome frameworks, and reporting logic to support dashboards and reporting solutions delivered through Business Intelligence and product teams. 

• Interpret modeling outputs and translate analytical findings into actionable insights for clinical, operational, and strategic decision-making. 

• Supervise and mentor medical data specialists and medical data scientists, ensuring high standards in data logic design, modeling methodology, reproducibility, documentation, and overall technical quality. 

• Work closely with medical data specialists to define analytical datasets, data logic, and extraction requirements required for modeling and analytics initiatives. 

• Collaborate with data engineering teams to operationalize analytics workflows while data engineering retains ownership of data pipelines and infrastructure. 

• Establish internal modeling best practices, documentation standards, and analytical methodologies within the Medical Data Science team. 

• Monitor model performance, bias, and drift, ensuring continuous improvement and responsible analytics practices. 

• Collaborate closely with Medical Advisory to ensure the clinical relevance, interpretability, and defensibility of analytics outputs. 

• Support commercial and stakeholder engagements by clearly articulating the methodology, robustness, and value of analytics-driven solutions. 

• Develop and scale the medical data science team in alignment with organizational growth plans. 

Travel requirements

This role will require occasional travel, up to 20% of the time, to meet our clients and stakeholders in our countries of business.

What skills do you need?

Core Competencies

• Strong foundation in statistical modeling, machine learning, and applied healthcare analytics. 

• Ability to translate complex analytical findings into clear, stakeholder-ready insights. 

• Experience operationalizing analytics solutions within real-world healthcare systems. 

• Strong leadership capability with experience mentoring technical teams. 

• Systems-level thinking and ability to operate effectively in complex healthcare environments. 

• Effective communication skills across technical, clinical, and commercial audiences. 

Qualifications

• Bachelor’s or master's degree in data science, biostatistics, statistics, computer science, health informatics, applied mathematics, or a related quantitative discipline. 

• Typically 8–10 years of experience in healthcare analytics, medical data science, or applied machine learning within healthcare, public health, or HealthTech environments. 

• Demonstrated experience leading analytics or data science teams. 

• Strong hands-on capability in analytics prototyping and technical review; experience with common data science tools and programming languages (e.g., Python, R, SQL) is highly desirable. 

• Experience working with electronic medical records, registries, claims data, or digital health datasets. 

• Experience demonstrating outcomes measurement and value articulation to healthcare stakeholders is highly desirable. 

• An advanced degree (PhD, MPH, or equivalent) is an advantage but not mandatory. 

• Strong written and verbal communication skills in English. 

Associate Engineer, Data Office

What will you do?

As an Associate Engineer, you will be supporting EVYD’s Core Technology platform and project deliveries. This role will be responsible for building, maintaining, and supporting data pipelines, ensuring data reliability, and contributing to the continuous improvement of our data platform and production systems.

Your key responsibilities include:

• Understand business requirements and technical specifications, and participate in the design, development, and implementation of data engineering solutions.

• Develop, maintain, and optimize data pipelines, ETL/ELT processes, and data workflows to ensure data availability, quality, and performance.

• Monitor and maintain data pipelines and production data systems, ensuring timely detection and resolution of issues.

• Respond to EVYD data operational issue, which includes:

  • Analyzing and troubleshooting data-related incidents
  • Performing SQL queries and data investigation to identify root causes
  • Proposing and implementing appropriate solutions
  • Coordinating with internal teams, external partners, and vendors to resolve issues 

• Collaborate with other associate engineers, data engineers, software engineers, and project stakeholders to improve system reliability, scalability, and performance.

• Support data validation, quality assurance, and data governance activities.

• Participate in system optimization, automation, and continuous improvement initiatives for data infrastructure and workflows.

What skills do you need?

Qualifications

• Bachelor’s Degree (or equivalent) in computer science, software engineering, or similar.

• 1 to 4 years of experience in data engineering, data development, or related roles (fresh graduates with strong technical skills are welcome to apply).

• Strong knowledge of SQL and relational databases (e.g., Hive, PostgreSQL, Oracle, etc.)

• Familiarity with Big data processing frameworks (Apache Spark, Flink, etc.)

• Understanding of data pipeline concepts (ETL/ELT, data ingestion, transformation, etc.)

• Experience working in healthcare, medical data, or health technology environments is an advantage

• Familiarity with medical data standards or healthcare systems is a plus

• Good analytic, problem-solving, and critical-thinking skills.

• Results-driven, able to function independently within a cross-functional team, as well as with external partners and vendors.