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.

Establish and execute regional communication strategy in Asia

- Support the Director to establish regional communication strategy in accordance with global policy and strategy as a regional corporate communications headquarters in Asia.

- Strengthen the Canon brand by raising its awareness and image in the region - increase visibility through advertising, events, sponsorship & corporate social responsibility initiatives.

Manage exhibitions and events

- Manage exhibitions and company events in collaboration with our business units.

- Manage sponsorship agreement with the external and its activities.

Manage digital platform

- Revamp our corporate website.

- Govern our digital platform including website and social media in Asia.

Liaise frequently with headquarters in Japan

- Discuss and execute global communication strategy with headquarters in Japan.

- Share directions and information from headquarters in Japan with relevant internal stakeholders.

- Report issues in media relations or any other communisations related to headquarters in Japan.

Requirement

· Minimum 10 years’ experience in Corporate Communications or related field

· Degree in Arts, Business, Mass Communications/Public Relations or equivalent

· Excellent written and verbal communication in Japanese as this role will need to liaise frequently with headquarters in Japan as well as media and business partners in Asia.

· Excellent communication skill.

· Good event management skill.

· Proficient in Microsoft Word, Excel, and PowerPoint.

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.