Total 11 data entry job vacancies in Information Technology category in Singapore

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Familiarity with data visualization tools like Tableau or Power BI.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines

What the role is

In the face of rising global health crises such as COVID-19, a rapidly aging population and increasing healthcare consumption and costs, we have to be able to leverage on healthcare data to drive decisions and improvements to care quality, delivery, and value.

You will be part of a team that develops strategies and supporting policies to facilitate the discovery and exploitation of health technology and healthcare data. This team also develops frameworks to govern and manage the security and protection of data. Within the constantly evolving regulatory and policy space of technology, you will be working in a fast-paced and dynamic environment that requires managing multiple priorities and stakeholders with complex needs at the same time.

What you will be working on

• Formulate policies and frameworks relating to healthcare data and technology to enhance MOH’s management and exploitation of health data and technology to achieve our policy, clinical and operations goals.

• Review and refine on-going programs and efforts to empower stakeholders and increase ownership of data security and data protection risks and compliance.

• Assisting with data request evaluations and processes, including personal data protection impact assessments, data security risk assessments

• Resolving ad-hoc stakeholder queries on data governance issues

• Consolidate, track and report progress of data security and protection programmes.

• Collaborate with stakeholders to formulate approaches to protect data and to update senior management on data protection and risk mitigation.

What we are looking for

• Minimum of 5 years experience in data, preferably in the healthcare and/or public sector.

• Bachelor degree in Computer Science, Health Sciences, Health Informatics or related field.

• Experience in developing and implementing strategies and policies. Strategic thinking to reimagine healthcare strategies relating to data and technology, as well as an ability to work through the operational details needed to implement the strategy

• Meticulous, able to work with granular data.

• Good understanding of the use of data in a healthcare environment.

• Excellent command of the English language with strong written and oral communication skills.

• Ability to engage stakeholders and balance conflicting demands, while managing their expectations

• Critical thinking and creative problem-solving skills

Job Description:

Join our team to support the operations of the Healthcare Cluster Data Warehouses and Data Lake. The Data Analyst will play a crucial role in investigating and resolving issues within SLA, focusing on ETL processes and data visualization using Oracle Analytics Server.

Key Responsibilities:

· Log, track, and manage all support tickets in the ticketing system.

· Collaborate with institutions and application teams to gather relevant information for analysis and execute the resolution process, ensuring timely closure of tickets.

· Conduct monthly and ad-hoc service requests for all tickets raised.

· Participate in internal and management meetings with functional analysts, institutional stakeholders, and Chief Medical Information Officers (CMIOs) to provide updates and insights on ongoing issues and resolutions.

· Monitor application performance and identify areas for improvement.

· Perform validation of data warehouses after scheduled maintenance to ensure they are functioning correctly.

Requirements / Qualifications:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or a related technical/scientific discipline.

· 1-3 years of experience in data-related support roles, with a focus on ETL and data visualization.

· Familiarity with Oracle Analytics Server (OAS), Tableau, and Informatica PowerCenter is highly desirable.

Skills:

· Strong analytical and problem-solving abilities.

· Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders.

· Proven ability to work collaboratively in a team-oriented environment.

· Detail-oriented with exceptional organizational skills.

The incumbent will be part of a Programme Evaluation (PE) team who drives programme evaluation efforts across MOH-Family. He/She uses statistical techniques to evaluate programmes/policies or conduct developmental analytics to improve implementation, and derives insights from administrative databases, surveys, and public information to support policy decisions. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analyses.

Roles & Responsibilities

• Develop and implement the MOH-Family Programme Evaluation Framework
• Develop and implement a systematic structure of Programme Evaluation framework which can be consistently applied to various health programmes and other expenditure types
• Provide training for MOH divisions to conduct programme evaluations
• Drive programme evaluation efforts across MOH-Family
• Build programme monitoring and evaluation capabilities among MOH officers
• Plan resources that are needed to conduct various programme evaluations
• Centralise programme evaluation functions across all MOH divisions
• Plan, undertake, and communicate evaluations of MOH-family programmes and policies
• Work with policy divisions and stakeholders to design and evaluate health programmes using the most suitable methods (qualitative/quantitative studies, experimental/quasi-experimental designs)
• Conduct pre-, during-, and post-implementation monitoring and evaluation of major healthcare programmes for process, outcome, and economic evaluations, and impact assessment
• Interpret and communicate findings in light of policy decisions/context
• Develop action plans to drive process improvement, refine programme delivery, and provide evidence for decision-making to achieve the programme’s intended outcomes
• Work with stakeholders and use evaluation results to drive process improvement and decision-making

Requirements

• Graduate/Postgraduate degree in a quantitative discipline: Health Services Research, Economics, Health Economics, Statistics/Biostatistics/Bioinformatics, Mathematics, Data Science, Business Analytics, Public Health, Public Policy, or related qualifications, or relevant work experience
• 2+ years relevant working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government, or IT sectors
• Possess a wide range of analytical skills and evaluation methods. Familiarity with both qualitative and quantitative study designs will be an advantage
• Good stakeholder engagement, communication, and presentation skills
• Able to work independently in a fast-paced working environment, and effective as a team player

As Data Centre Engineer, need to police and set up the DC according to what we need, able to provide technical advice in facility management, manage DC service provider and work with project manager to do UAT and build the data center.

Roles and Responsibilities:

• DC Facilities / Preventive Maintenance

• DC Rack, Network Cabling, and DCFM Operation Management

• Liaise and work directly with stakeholders, DC Op Managers and/or DC Service Facilities providers for purpose of project delivery and maintenance support.

• Liaison with DC Provider/ vendor with regards to utilities, building services / facilities and systems issues, which include Data Center Infrastructure Management DCIM support, Key management system and maintenance.

• Administrator for preventative maintenance programs to ensure that DC provider carry out the facilities maintenance.

• Proactive monitoring of the Environmental System Alerts in the Data Centres to ensure they are operating within acceptable level and to escalate promptly to the relevant authority or third-party vendors to rectify any defects alerted.

• Monitor and optimise Power Usage Effectiveness (PUE) and overall power consumption within the data centre, ensuring the efficiency of servers and racks meets target power consumption levels.

• Ensure DCIM systems are operating as designed to protect the data center, capture power usage, calculate available capacity, and provide meaningful, timely alarms, notifications, and reports.

• Propose continuous improvement initiatives with recommendations to strengthen IT governance & compliance, increase efficiency on work quality and processes.

• Support design planning and space allocation for prospective Colo and Private cloud service hosting. Recommend acquisition of new technology to enhance DC operational efficiency.

• Support DCFM on matters pertaining to all Data Center (DC) projects; this include making arrangement and attend site surveys with vendors, supplier and business Product and suggest feasible solutions to ensure DC’s requirement are addressed or met.

• Support the management of works conducted within the Data Centres such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, on-site/off-site standby activities etc

• Establish work schedule, monitor work progress on site, examine and certify works done, and to attend Factory Acceptance test, Site Acceptance test and Integrated System Test, if any.

• Support and oversee new data center project fit-out, additions & alterations works, including SIT/ UAT testing.

• Ensure project closure and hand over with as-built drawings, schematics and reports, including commissioning of assets. This include witness key commissioning tests on site

• Enforce adherence to established procedures (SOPs, MOPs, EOPs, PTWs, RAs) and change control processes for all data center maintenance activities.

Reporting and Analysis:

• Establish operational and performance benchmarks, analyze data, and prepare reports on all aspects of facility operations and maintenance.

• Generate monthly progress reports and track deliverables.

Requirements/ Qualifications:

• Bachelor of Computer Engineering or equivalent

• Have at least six (6) years of working experience in Data Centre Facility Management/Environment,

• Have at least three (3) years of experience in leading a team in a similar capacity.

• Excellent vendor management skills and comfortable to travel around different data centers

• Possess broad-based knowledge and skills in the areas of building technology, mechanical and electrical services and facilities management.

• Good knowledge and understanding of Data Centre infrastructure systems with experiences working on mission critical systems such as UPS, Chiller, CRAC, Thermal /Fan Wall Cooling , Electrical HT/LT, Fire Protection, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.

• Have good working knowledge for best practices in fire/workspace safety, management, control, and operating a Data Centre hosting services

• Proficient in Rack and Stack Tasks/ Planning, analysis and forecasting under Data Centre Infrastructure Management (Able to allocate racks efficiently – plan and relocation experience – power usage optimisation)

• Must possess relevant experience in DC facility management and vendor management.

• ITIL Foundation V4 certified, and Possess Data Centre Certifications such as CDCP and CDCS

• Working experience in managing & supporting DCIM system; Struxureware Data Center Expert (DCE) Struxureware Data Center Operations (DCO) and IT Advisor (ITA) in support of new data center deployment, and retrofits.

• Inclination & passionate to automate routine tasks to drive operational efficiency.

• Familiar with ISO 9001, and I

We are seeking an experienced and skilled Senior Data Analyst to join our dynamic team. You will play a crucial role in analysing and interpreting health data, providing actionable insights to support health policy planning.

Responsibilities

· Utilise statistical methods and analytics tools to analyse datasets related to public health, including health surveys, healthcare utilisation data, and epidemiological studies.

· Interpret and communicate findings to stakeholders, translating complex data into actionable data-driven insights for program and health policy planning, and public health interventions.

· Monitor databases to ensure the timeliness and accuracy of data.

· Work closely with cross-functional teams to foster creative problem-solving and address complex data analytics issues.

· Collaborate with interdisciplinary teams from both local and global health organisations and research institutions to conduct research studies.

Qualifications

· Possess extensive knowledge and experience in Statistics, Data Analytics, Data Science, Health Economics or disciplines with substantial quantitative content (e.g. regression, analytics, modelling).

· Work experience in public health, health statistics or epidemiology research environment is preferred.

· Proficient in statistical software (e.g., R, Python, SAS, Stata). Experience with data visualisation tools (e.g., Tableau) will be an added advantage.

· Experience in publishing relevant publications in peer-reviewed journals will be advantageous.

· Possess strong analytical and problem-solving skills. Highly driven with the ability to work in a fast-paced environment.

· Self-motivated and resourceful, takes initiative in one’s work.

Effective communication skills, and good interpersonal skills with the ability to work cross functionally.

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Job Description:

• Collaborate with stakeholders to understand needs for actionable insights
• Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
• Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
• Provide rationale, business cases and ROI models to support investment
• Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
• Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
• Support the rollouts, upgrades, implementation and release of analytics system changes
• Ideate intelligent algorithms to operate on large data sets
• Keep abreast of existing and emerging scientific principles/theories/techniques
• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective and identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
• Provide advice on high-level Advanced Analytics solution designs.
• Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
• Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements / Qualifications

• PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
• At least seven (7) years’ experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
• Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
• Proficient in tools such as R/SAS/SPSS/Python.
• Excellent communication, relationship skills and a strong team player.
• Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
• Experience with

1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
3. data interrogation techniques (e.g. SQL, NoSQL).
4. structured and unstructured data analytics.

• Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
• Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
• Advance knowledge of Excel features and techniques required for the presentation of data
• The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• A good understanding of Singapore Healthcare System
• An understanding of healthcare data governance, data acquisition and data management would be an advantage.
• Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

We are hiring an Assistant director for our data protection team who will be driving the development and implementation of data protection policies and processes, to ensure Synapxe's compliance with the Healthcare Instruction Manual(HIM) and regulatory requirements such as the PDPA

Roles and Responsibilities

· Ensure organisation's compliance to the PDPA and data protection policies which includes the development and maintenance of the Data Security Maintenance Plan (DSMP)

· Provide updates on data protection compliance to senior management

· Monitor the handling of personal data across the organisation

· Oversee the maintenance of records required to demonstrate data protection compliance

· Develop and conduct Data Protection Impact Assessments (DPIA) to identify, assess and address the risks

· Propose measures to manage risks associated with the collection, use, disclosure and storage of personal data

· Manage and report any breaches according to the organisation's data breach management process including incident response, notifications of affected individuals, investigations and closure

· Drive awareness of PDPA and Data Protection requirements in the organisation including the development training programmes to foster a strong data protection culture

· Provide advisory services on data protection issues, including specific data-related products and projects and contractual obligations (alongside the Legal team)

· Act as the organisation's key point of contact with the PDPA regulatory authorities and to data subjects when exercising their individual data rights

Requirements

· University degree in Business, Computer Science, Engineering or equivalent

· At least 10 years of data protecion experience

· Proficient in MS Office applications

· Good interpersonal and communication and written skills

· Knowledge in enterprise risk, IT security operation, IT incident management, project management, legal, compliance, and IT audit is an advantage

· Fundamentals of PDPA/CIPP/CIPM/CIPT or other relevant certification