Total 14 business management project planning job vacancies in Education / Training category in Australia

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.

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 Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

The Research Partnership and Grant Management Senior Manager/Manager supports both the Office of Business Development and Industry Engagement (OBI) and the Office of Grant Management in administrative, coordination and innovation efforts in the area of research partnerships and grant management at GIS.

The successful candidate will lead research partnership efforts to enable strategic partnerships with public sector parties in advancing GIS's mission and vision. He or she will also lead in efforts to identify and promote valuable intellectual properties and assets arising from GIS's research; and develop viable commercialisation pathways alongside teams from GIS's business development, Innovation and Enterprise, Biomedical Sciences Industry Partnership Office, etc.

As for Grant Management, the successful candidate will coordinate grant applications and develop strategies alongside GIS's researchers to improve chances of successful grant application. He or she will also organise training and coaching for early career researchers in their grant applications.

The candidate should demonstrate

1. keen acumen in determining valuable assets for industry,
2. good tenacity and people skill to discuss, develop and negotiate commercialisation plan with various stakeholder,
3. a good command of the written language with a keen eye for detail to forge collaboration framework
4. good administrative and management skills in ensuring processes are adhered to,
5. commitment to continuous improvement in streamlining and optimising processes.

The expected duties are:

1. Lead and organise legal documentation (i.e. NDA, MTA, RCA etc), including the drafting, review, discussion and negotiations with collaborators in accordance with A*STAR's guidelines.
2. Develop a network of institutional relationships with academic institutions, clinical communities, government agencies, grantors and internal A*STAR stakeholders.
3. Support and administer filing of technical disclosures and provide filing strategies for researchers.
4. Develop processes to support Technical Disclosure Showcase in engaging various A*STAR stakeholders.
5. Manage and track defined commercialisation plans for GIS? IP portfolio.
6. Track and compile periodic institutional KPI reporting for management review.
7. Support and administer publications.
8. Administration for pre and post award stages of competitive grants, including the review and submission of grant proposals, progress reports, etc.
9. Provide guidance to researchers to ensure compliance to various grant T&C.
10. Seek opportunities to enhance grant application processes through organising trainings and coaching for GIS's ECR.
11. Assist with other ad-hoc duties

Job Requirements

1. Degree in a scientific discipline related to GIS's core research areas
2. More than 5 years of industry or research experience.
3. Outstanding written, communication and administrative skills
4. Customer-oriented and a team player.
5. Excellent organisation and leadership skills.
6. A self-starter and problem solver who pro-actively tackles problems.
7. Self Driven
8. Ability to build and maintain long-term and short-term partnerships, and to identify and contextualise stakeholder issues and manage them in an appropriate manner.
9. Occasional travel may be required.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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.

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.

Justification Request:

The successful candidate will join the Data Management Group at the Bioinformatics Institute (BII) within the Agency for Science, Technology and Research (A*STAR). The Observational Health Data Sciences and Informatics (OHDSI), Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is the national data standardisation framework adopted by Singapore’s Ministry of Health (MOH) for real world evidence studies. This is a functional role that combines data management and data science skills for OMOP data curation & data analytics of national strategic research datasets.

Job Summary:

Support with the data curation and data analytics of national strategic research datasets based on OHDSI OMOP framework (multi-modal data integration, data cleaning, data curation, data quality assessments and data analytics) - https://www.ohdsi.org/

Job Responsibilities:

- Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, https://gustodatavault.sg/omop/
- Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation.
- Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
- Generate comprehensive reports and visualisation dashboards to effectively communicate data insights to stakeholders, including investigators, physicians and regulatory bodies.

Job Requirements:

- A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science of related field.
- Good programming skills (Python, R).
- Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines, OHDSI OMOP Common Data Model and regulatory data submissions.
- Good team player and communication skills for collaborative research.
- At least 5 years’ relevant experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Justification Request:

The successful candidate will join the Data Management Group at the Bioinformatics Institute (BII) within the Agency for Science, Technology and Research (A*STAR). The Observational Health Data Sciences and Informatics (OHDSI), Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is the national data standardisation framework adopted by Singapore’s Ministry of Health (MOH) for real world evidence studies. This is a functional role that combines data management and data science skills for OMOP data curation & data analytics of national strategic research datasets.

Job Summary:

Support with the data curation and data analytics of national strategic research datasets based on OHDSI OMOP framework (multi-modal data integration, data cleaning, data curation, data quality assessments and data analytics) - https://www.ohdsi.org/

Job Responsibilities:

- Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, https://gustodatavault.sg/omop/
- Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation.
- Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
- Generate comprehensive reports and visualisation dashboards to effectively communicate data insights to stakeholders, including investigators, physicians and regulatory bodies.

Job Requirements:

- A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science of related field.
- Good programming skills (Python, R).
- Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines, OHDSI OMOP Common Data Model and regulatory data submissions.
- Good team player and communication skills for collaborative research.
- 0 - 3 years’ experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Responsible for co-leading and supporting PI in managing the full life cycle of R&D projects, from scoping, initiation, planning, executing through to completion:

- establish communication plans, build project schedules, milestones and deliverables.

- manage project risk, scope, budget, resources, schedule and KPIs

- interact and communicate with internal and external stakeholders

- track project progress against milestones and budget

- prepare reports to management and grantors

- ensure that projects adhere to established policies, guidelines, standards, and methodologies.

• Support the implementation and maintenance of the Project Management Information System (A*PS)
• Project Management related SOP writing and development

Other Responsibilities:

• Other ad-hoc duties and assignments as may be assigned by Reporting Officer/Director

Job Requirements:

• Minimum of Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• At least 3 years of working experience preferably in the medtech, healthcare, or biomedical industry
• Strong background in Microbiology, Molecular Biology, Biochemistry, Genetics and Genomics
• Experience with project management, developing and implementing project plans preferred.
• Demonstrable experience of developing and maintaining key project documentation to a high standard
• Knowledge and competence in industry engagement and intellectual property would be advantageous
• Highly motivated and able to work independently
• Strong analytical, technical, and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Justification Request:

The successful candidate will join the Data Management Group at the Bioinformatics Institute (BII) within the Agency for Science, Technology and Research (A*STAR). The Observational Health Data Sciences and Informatics (OHDSI), Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is the national data standardisation framework adopted by Singapore’s Ministry of Health (MOH) for real world evidence studies. This is a functional role that combines data management and data science skills for OMOP data curation & data analytics of national strategic research datasets.

Job Summary:

Support with the data curation and data analytics of national strategic research datasets based on OHDSI OMOP framework (multi-modal data integration, data cleaning, data curation, data quality assessments and data analytics) - https://www.ohdsi.org/

Job Responsibilities:

- Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, https://gustodatavault.sg/omop/
- Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation.
- Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
- Generate comprehensive reports and visualisation dashboards to effectively communicate data insights to stakeholders, including investigators, physicians and regulatory bodies.

Job Requirements:

- A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science of related field.
- Good programming skills (Python, R).
- Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines, OHDSI OMOP Common Data Model and regulatory data submissions.
- Good team player and communication skills for collaborative research.
- 0 - 3 years’ experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.