144 Clinical Data Analysis jobs in Singapore

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.
To apply, please visit and search for Job Reference: LR8W5X96
To learn more about this opportunity, please contact Yingying at
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R
This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).
#J-18808-Ljbffr

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R

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 Ltd’s PDPA and e2i’s PDPA.

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.

To apply, please visit and search for Job Reference: LR8W5X96

To learn more about this opportunity, please contact Yingying at

We regret that only shortlisted candidates will be notified.

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

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 .

Data Analytics
Spearhead the design and execution of end-to-end data analytics strategies.
Develop and manage automated data pipelines and ETL workflows.
Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
Create predictive models and deploy machine learning solutions, including large language models (LLMs).
Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
Work closely with GTO and AIO teams to improve data visibility and accessibility.
Design and apply LLM-based solutions to streamline and optimize patient care pathways.
Data Quality & Monitoring
Conduct regular validation to ensure the integrity and consistency of datasets.
Detect and interpret key trends, patterns, and insights from healthcare data.
Establish and maintain robust data quality assurance and validation protocols.
Generate and present clear, data-driven reports and visualizations to stakeholders.
Ensure all data visualizations are user-centric and accessible to non-technical users.
Liaise with cross-functional teams to gather and address their specific data requirements.
Data Governance & Protection
Implement stringent data security policies and access controls.
Supervise data standardization and quality management initiatives.
Ensure adherence to data privacy laws such as PDPA and HBRA.
Develop secure protocols for safe data exchange and collaborative access.
Promote ethical AI usage and ensure responsible deployment of LLM technologies.
Key Requirements
Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
Minimum of 2 years’ experience in healthcare analytics or a similar field.
Preferably 2–3 years of experience in a leadership or team lead role.
Strong programming skills in Python, R, and SQL.
Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
Proficiency with cloud analytics environments, especially Databricks.
Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
Experience working with cloud providers, particularly AWS.
Familiarity with container technologies like Docker and Kubernetes.
Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
Proficient in REST API development using frameworks like FastAPI.
Understanding of database design, with hands-on experience using tools like SQLAlchemy.
Capable of working with large and complex datasets.
Proficient in using Git for version control and collaborative coding.
Strong grasp of CI/CD pipelines and DevSecOps best practices.
Knowledge of medical terminology and healthcare IT systems.
Demonstrated ability to manage stakeholders and drive successful project outcomes.
Excellent analytical thinking and problem-solving capabilities.
Effective communicator with strong presentation, writing, and interpersonal skills.
Highly detail-oriented, with a commitment to accurate data handling and analysis.
Able to convert business challenges into technical data solutions.
Team-oriented, proactive, and capable of thriving under time constraints.
Comfortable working both independently and collaboratively in dynamic environments.
To apply, please visit
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R
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 Ltd’s PDPA and e2i’s PDPA.
#J-18808-Ljbffr

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R

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 Ltd’s PDPA and e2i’s PDPA.

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R

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 Ltd’s PDPA and e2i’s PDPA.

Job Overview

This is an exciting opportunity to join a research team as a Clinical Research Coordinator. In this role, you will be responsible for providing critical support to the research team in the conduct of clinical trials.

Key Responsibilities:

• Assist the research team in coordinating and implementing clinical trial protocols.

• Screen and recruit suitable patients to participate in clinical trials.

• Brief patients on the research background and rationale and obtain their consent for participation.

• Collect data from patient medical records and research statistics.

• Document adverse events or reactions that arise during the trial.

• Perform phlebotomy and venepuncture when required.

Requirements:

• A minimum degree or diploma in nursing.

• A minimum of 3 years' experience in a hospital setting.

Why This Role?

This is an excellent opportunity for a dedicated and detail-oriented individual to make a real difference in the lives of patients participating in clinical trials.

What We Offer:

• A competitive salary package.

• Ongoing training and development opportunities.

• A dynamic and supportive work environment.

Location: West/ Central
Salary: Up to $3,400/month
Duration: Project basis - 6 months (renewable)
Work Hours: Monday to Friday, 8:00AM to 4:30PM, and Saturday, 8:00AM to 12:30PM

Job scope:
- Recruit and screen patients based on study eligibility, explaining study goals clearly.
- Obtain consent, administer questionnaires, and follow up with participants.
- Coordinate closely with research teams, clinicians, and clinic staff to meet study needs.
- Manage tight deadlines and achieve research targets.
- Conduct patient recruitment, data collection, and data management.
- Use databases like Redcap and hospital systems to keep accurate records.
- Ensure strict compliance with research protocols and regulations.
- Work with investigators and labs to set up clinical workflows for recruitment.
- Prepare documents for audits and assist with IRB submissions and reports.
- Maintain professional standards and adhere to hospital policies and ethics.
- Perform other related duties as assigned by the Principal Investigator (PI).

Job Requirements:
- Min. Degree in Science/ Public Health/ Social Science or any relevant field
- Adaptable, strong communication and interpersonal skills
- No experience as training will be provided

For interested applicants, please send your updated resume to:
All candidates' information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R
Recruit Express Pte Ltd
99C4599

Clinical Research Coordinator Role Summary:

• This role involves coordinating research activities to support the success of clinical studies.

About the Job:

The selected candidate will be responsible for recruiting and screening patients, obtaining consent, administering questionnaires, and following up with participants. They will also coordinate closely with research teams, clinicians, and clinic staff to meet study needs.

Key Responsibilities:

• Recruit and screen patients based on study eligibility, explaining study goals clearly.
• Obtain consent, administer questionnaires, and follow up with participants.
• Coordinate closely with research teams, clinicians, and clinic staff to meet study needs.
• Manage tight deadlines and achieve research targets.
• Conduct patient recruitment, data collection, and data management.
• Use databases like Redcap and hospital systems to keep accurate records.
• Ensure strict compliance with research protocols and regulations.
• Work with investigators and labs to set up clinical workflows for recruitment.
• Prepare documents for audits and assist with IRB submissions and reports.

Requirements:

• Min. Degree in Science/ Public Health/ Social Science or any relevant field.
• Adaptable, strong communication and interpersonal skills.
• No experience as training will be provided.

About You:

This is a project-based role that requires flexibility and adaptability. The selected candidate will work closely with the research team to ensure the successful execution of studies.