Total 9 data entry job vacancies in islandwide

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description

We are seeking a highly motivated and detail-oriented candidate to lead the development and implementation of a data governance framework at A*STAR Institute for Human Development and Potential to ensure the quality, security, and compliance of research data across the Institute. The successful candidate will have expertise and experience in data governance, data management, and clinical research, as well as excellent leadership and communication skills.

Responsibilities:

1. Develop and implement a data governance framework that aligns with industry standards and regulatory requirements specific to Singapore, working with stakeholders to establish data policies, procedures, and standards.
2. Collaborate with research teams within and beyond IHDP to ensure data quality, security, and compliance with regulations such as PDPA (Singapore), GDPR(Europe) and ISO/IEC standards.
3. Conduct data risk assessments, data audits and develop mitigation strategies.
4. Ensure data privacy and security measures are in place.
5. Provide user assurance on compliance and security (e.g. MOH Solutions Review Board clearance, endorsed external audits).
6. Develop training programs to educate researchers and staff on data governance and data management best practices.
7. Stay up-to-date with changing regulations and industry standards, and advise the institute on data governance matters.
8. Collaborate with IT and Data Management team to ensure data systems and infrastructure support data governance requirements.
9. Monitor and report on data governance metrics and program effectiveness.

Requirements:

• Bachelor's / Master's degree in information systems, Data Management, Computer Science. Relevant fields will be considered.
• At least 5 years of experience in data governance, data management, or in a clinical research management setting.
• Proven leadership and project management skills.
• Excellent communication and interpersonal skills.
• Strong understanding of data governance principles, data management best practices, and clinical research regulations.
• Experience with data governance frameworks and standards (e.g., DCAM, ISO 27001, ISO 38505).
• Familiarity with data privacy and security regulations (e.g., PDPA, GDPR).
• Experience with data cataloguing and metadata management tools.
• Strong analytical and problem-solving skills.
• Relevant certifications in data management will be highly advantageous [Examples include Certified Data Management Professional (CDP), Certified Information Management Professional (CIMP), Certified Data Governance Professional (CDGP), Certified Data Quality Professional (CDQP)].

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

We are seeking a highly motivated Research Officer to join our Data Management Platform. This is a functional role that combines data archival and data cleaning for major population health studies conducted at the institute.

Job Description:

• Implementation of inventory management and tracking system for offsite archival of study source documents.
• Perform data reconciliations and digitalization of study source documents in hardcopy formats.
• Develop and implement data cleaning scripts to ensure good data quality.
• Generate inventory dashboards to effectively communicate the data archival and data cleaning status.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science or related field.
• Good programming skills (Python, R).
• Familiar with Business Intelligence (BI) reporting tools such as Power BI.
• Knowledge/experience on Good Clinical Practice (GCP) and Good Clinical Data Management Practices (GCDMP) guidelines.
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

We are seeking a highly motivated Research Officer to join our Data Management Platform. This is a functional role that combines data archival and data cleaning for major population health studies conducted at the institute.

Job Description:

• Implementation of inventory management and tracking system for offsite archival of study source documents.
• Perform data reconciliations and digitalization of study source documents in hardcopy formats.
• Develop and implement data cleaning scripts to ensure good data quality.
• Generate inventory dashboards to effectively communicate the data archival and data cleaning status.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science or related field.
• Good programming skills (Python, R).
• Familiar with Business Intelligence (BI) reporting tools such as Power BI.
• Knowledge/experience on Good Clinical Practice (GCP) and Good Clinical Data Management Practices (GCDMP) guidelines.
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience.

Job Summary:

Support with the data management and data analytics deliverables for Project RESET population health study (data collection, data monitoring, multi-modal data integration, data curation, data analytics and AI).

Job Responsibilities

• Implementation of effective data management processes across the clinical, multi-Omics and wearables data in Project RESET’s hybrid AWS cloud environment.
• Develop data management strategies for digital health technologies, ensuring the collection, integration and analysis of high-quality and reliable data.
• Develop and implement proactive quality control audits/quality management plans across longitudinal visits to ensure data accuracy, completeness and proper usage of data management systems.
• Develop and implement data models to identify patterns, correlations and predictive insights to assess patient risk stratification and disease progression.

Job Requirements

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Mathematics, Computer Science or related field.
• Good programming skills (Python, R, PyTorch, High Performance Computing solutions).
• Experience with advanced computational methods such as deep learning and graph neural networks for population health analytics.
• Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines and research data management.
• Good team player and communication skills for collaborative research.
• 0 - 3 years’ experience.

Job Summary:

Support with the data management and data analytics deliverables for Project RESET population health study (data collection, data monitoring, multi-modal data integration, data curation, data analytics and AI).

Job Responsibilities

• Implementation of effective data management processes across the clinical, multi-Omics and wearables data in Project RESET’s hybrid AWS cloud environment.
• Develop data management strategies for digital health technologies, ensuring the collection, integration and analysis of high-quality and reliable data.
• Develop and implement proactive quality control audits/quality management plans across longitudinal visits to ensure data accuracy, completeness and proper usage of data management systems.
• Develop and implement data models to identify patterns, correlations and predictive insights to assess patient risk stratification and disease progression.

Job Requirements

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Mathematics, Computer Science or related field.
• Good programming skills (Python, R, PyTorch, High Performance Computing solutions).
• Experience with advanced computational methods such as deep learning and graph neural networks for population health analytics.
• Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines and research data management.
• Good team player and communication skills for collaborative research.
• 0 - 3 years’ experience.

A*STAR is an Accredited Training Organisation (ATO) that has been certified by the Singapore Accountancy Commission (SAC) to possess the appropriate standards of staff training, accountancy resources and development for Singapore CA Qualification candidates to fulfil their Practical Experience required to qualify as a Chartered Accountant of Singapore.

Job Description

1. Create and maintain SAP master data for grants and funds (e.g. fund, cost centre, WBS) for A*STAR research and supporting entities timely upon request from stakeholders.

2. Check supporting documents provided to ensure information contained is complete and in accordance with the overall data schema.

3. Liaise with stakeholders to resolve any discrepancies.

4. Perform closing of project codes timely as per SOP, and any re-opening as required to facilitate operations.

5. Perform regular checks on newly created master data, flag exceptions for follow-up and resolution.

6. Ensure grants documentations are well organised and maintained (e.g. Letter of Awards, variation approvals).

7. Perform month end module closure in SAP.

8. Any ad-hoc tasks as required.

Job Requirements

• Qualifications in Accountancy or Finance with 3 to 5 years of relevant experience. Candidates without experience, but display good aptitude may be considered.

• Good command of MS Office application.

• Meticulous, organised and possess good communication skills.

• Knowledge of SAP and BI reporting tools will be advantageous.

Job Summary:

Support with the data management and data analytics deliverables for Project RESET population health study (data collection, data monitoring, multi-modal data integration, data curation, data analytics and AI).

Job Responsibilities

• Implementation of effective data management processes across the clinical, multi-Omics and wearables data in Project RESET’s hybrid AWS cloud environment.
• Develop data management strategies for digital health technologies, ensuring the collection, integration and analysis of high-quality and reliable data.
• Develop and implement proactive quality control audits/quality management plans across longitudinal visits to ensure data accuracy, completeness and proper usage of data management systems.
• Develop and implement data models to identify patterns, correlations and predictive insights to assess patient risk stratification and disease progression.

Job Requirements

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Mathematics, Computer Science or related field.
• Good programming skills (Python, R, PyTorch, High Performance Computing solutions).
• Experience with advanced computational methods such as deep learning and graph neural networks for population health analytics.
• Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines and research data management.
• Good team player and communication skills for collaborative research.
• 0 - 3 years’ experience.