Data Analytics (Healthcare) - 2 years contract

GMP Technologies; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

GMP Technologies is seeking a Data Analytics professional to lead healthcare data strategies, build automated data pipelines, and deploy AI/LLM solutions. You will work cross-functionally to integrate PROMs, improve care pathways, and ensure governance and privacy across large healthcare datasets.

The role requires 2+ years in healthcare analytics, strong Python/R/SQL skills, and hands-on cloud/containers experience. A Masters is preferred; hybrid or on-site Singapore options may apply.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field; Masters preferred.
• 2+ years of experience in healthcare analytics or related domain.
• Demonstrated experience deploying LLM applications in production with portfolio and documentation.
• Hands-on experience building agentic AI systems with real-world implementations.
• Proficiency in Python, R, SQL and data visualization tools.
• Experience with cloud platforms (AWS, Databricks), containers (Docker, Kubernetes), and web frameworks (Streamlit, TypeScript).
• Familiarity with REST APIs, Git, CI/CD, and DevSecOps.
• Knowledge of healthcare systems, medical terminology, and data privacy regulations (PDPA, HBRA).
• Strong analytical and communication skills; ability to work independently and in teams.

Responsibilities

• Lead design and execution of data analytics strategies across healthcare domains.
• Build and maintain automated data pipelines, ETL processes, and dashboards.
• Clean, validate, and analyze large healthcare datasets with statistical methods and LLMs.
• Support clinical research and quality improvement with data-driven insights.
• Collaborate with clinical and tech teams to integrate PROMs and optimize care pathways.
• Own data assets with governance and security practices.
• Ensure data integrity and deliver clear, stakeholder-friendly reports and visuals.
• Uphold data privacy and regulatory compliance; implement secure data sharing and AI deployment practices.
• Work cross-functionally to enhance data accessibility and usability across the organization.
• Perform other duties as assigned.

Skills

Healthcare analytics

LLM deployment

Data governance

Stakeholder communication

Independent & collaborative work

Education

Bachelor's degree in CS/Data Science/Statistics

Masters degree preferred

Tools

Python

R

SQL

Tableau/Power BI/Spotfire

AWS/DataBricks

Docker/Kubernetes

Job description

Data Analytics (Healthcare) - 2 years contract

About the job Data Analytics (Healthcare) - 2 years contract

Responsibilities:

• Lead the design and execution of data analytics strategies across healthcare domains.
• Build and maintain automated data pipelines, ETL processes, and interactive dashboards.
• Clean, validate, and analyze large healthcare datasets using advanced statistical and machine learning methods, including LLMs.
• Support clinical research and quality improvement initiatives through data-driven insights.
• Collaborate with clinical and technical teams to integrate PROMs and optimize care pathways.
• Take ownership of relevant data assets and databases, ensuring proper data governance, security, and protection practices are applied across all initiatives.
• Ensure data integrity, perform quality checks, and deliver clear, stakeholder-friendly reports and visualizations.
• Uphold data privacy, security, and regulatory compliance standards.
• Implement secure, responsible data sharing and AI model deployment practices.
• Work cross-functionally to enhance data accessibility, visibility, and usability across the organization.
• Perform other duties as assigned by the Reporting Officer.

Requirements:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field; Masters degree preferred.
• At least 2 years of experience in healthcare analytics or a related domain.
• Demonstrated experience developing and deploying LLM applications in production environments with GitHub portfolio showcasing LLM/AI agent projects and clear documentation of role and contributions
• Hands-on experience building agentic AI systems beyond academic coursework with evidence of real-world implementation through public repositories, deployed applications, or detailed project case studies
• Proficient in Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI, Spotfire).
• Experience with cloud platforms (preferably AWS and Databricks), container tools (Docker, Kubernetes), and web frameworks (Streamlit, Next.js, TypeScript).
• Skilled in statistical analysis, machine learning (including LLMs), and handling large datasets.
• Familiar with REST APIs (e.g., FastAPI), Git, CI/CD pipelines, and DevSecOps practices.
• Knowledge of healthcare systems, medical terminology, and data privacy regulations (e.g., PDPA, HBRA).
• Strong analytical, communication, and stakeholder engagement skills.
• Able to work independently and collaboratively in a fast-paced environment.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA.