PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Become the data architect and narrative force we need. You'll engineer our data pipeline, transform raw data into actionable insights, and shape a data-driven culture across the organization. In this hands-on role, you'll wear multiple hats, building the foundation for data-powered decisions and crafting compelling narratives for diverse audiences.

Data Architect & Builder

• Conceptualize and build the data lake infrastructure, choosing and setting up robust tools and processes.
• Collaborate with external vendors to ensure smooth data ingestion and integration.
• Monitor and optimize the data lake, maintaining data quality and accessibility.

Data Whisperer & Analyst

• Translate business needs into actionable data requests through close collaboration with stakeholders.
• Conduct independent data analysis, uncovering hidden insights through established tools and techniques.
• Develop insightful dashboards and reports, clearly communicating data findings to different audiences.

Data Champion & Evangelist

• Champion data-driven decision-making throughout the organization.
• Train and empower others to interpret and utilize data effectively.
• Stay at the forefront of data trends and technologies, proposing and implementing advancements.

Requirements:

• Bachelor degree in Computer Science, Statistics, Data Science, or a related field.
• 2 to 5 years of experience in data analysis and reporting, with a proven track record of success.
• In-depth technical knowledge: proficient in SQL, data warehousing and lake technologies, scripting languages (e.g., Python, R), and data visualization tools.
• Project management skills: able to plan, execute, and deliver projects from start to finish.
• Strong communication and presentation skills: both written and verbal, with the ability to connect with diverse audiences.
• Problem-solving and analytical skills: able to identify data anomalies, troubleshoot issues, and find creative solutions.
• Strong work ethic and a passion for data: driven by the desire to unlock its potential and empower others.

· Position: Admin Assistant/Executive (Back-End Administration/Paperwork)

· Location: Raffles Quay

· Working hours: Monday to Friday (8.45am - 6pm)

· Salary (commensurate with experience): Up to $3,500 + AWS + Performance Bonus + 16 Days AL + Flexi Benefits

· Duration: Permanent

· Industry: Insurance Broking

Main Responsibilities:

· Cover daily administrative duties and data entry work

· Monitor and review of policy claims

· Assist the broking executives regarding administrative documents and duties

· Any other ad-hoc duties assigned

Requirements:

· At least Diploma in any discipline

· Proficient with Microsoft Office (Excel/Word, etc)

· At least 1 year of administrative experience

· Bilingual in English and Mandarin to liaise with Mandarin speaking associates in view of business communications

Email to: [email protected]for more information.

Do visit www.facebook.com/search.personnel for more job listings.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Associate Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kong Chian Natural History Museum (LKCNHM) was established in 2015, but its collection of natural history specimens spans more than two centuries, and continues to increase. Apart from physical specimens, it manages a growing collection of digital resources including images, publications, and other types of digital records which are necessary for research and education. We are seeking a dynamic and suitably qualified individual to lead in, suggest solutions and implement systems/strategies to manage this growing digital footprint and to work with LKCNHM subject specialists to curate and archive the large amount of scientific and other data, and information generated through research on biodiversity in Southeast Asia. The individual will play a pivotal role in ensuring that scientific data and information is managed in such a way that allows easy and smooth access to users, thus supporting the advancement of research and education.

Duties and responsibilities include, but are not limited to the following -

1) Scope and develop a platform to serve as a biodiversity information gateway for Singapore biodiversity information.
2) Assist with all museum-wide aspects of information and data relating to the collections: organizing information, storage, preservation and use of data on the collections
3) Relate and link various databases and other digital resources that come under LKCNHM to be accessible through the biodiversity information gateway.
4) Curate and/or organise the digital collections at LKCNHM, including new genomic, imaging, specimen, collection and other data that will continuously be generated.
5) Specific duties include:

• Setting up and managing core digital platforms/facilities within the LKCNHM.
• Maintaining the biodiversity information gateway for public delivery of data (for use by researchers, educators or interest groups for example).
• Managing and enhancing the integrity and accuracy of the digital collection information systems, including the collection database, and other digital records.
• Working with museum staff to improve specimen metadata, such as through photography, geo-referencing, and linking with host specimen records; and to support the on-line presence of the collection, contributing to the LKCNHM website.
• Facilitating data contribution to national and international data repositories.
• Managing data storage and preservation, including local servers and cloud services, and maintaining an appropriate back-up strategy.
• Recruiting and supervising interns and/or student assistants within the digital collection and biodiversity informatics; ensuring appropriate training, orientation, evaluation and discipline.
• Developing and preparing short monthly and annual reports and project reports for the digital collection.
• Work with the Museum curators and Research Associates to develop and implement policies, standards, and procedures (e.g. developing standard operating procedures for accessioning and databasing of specimen and associated data).
• Other related duties as assigned.

Qualifications/Requirements/Other Info

1) BSc or above in data science or digital management.
2) Two years of working or training experience on data management or similar related work.
3) Strong English writing and verbal skills.
4) Documented ability to multi-task and work well in a team.

Desirable skills:
1) Able to manage multiple stakeholders.
2) Able to manage projects within tight timeline.
3) Some understanding of specimen imaging and digitization.
4) Singapore class 3 driving licence is advantageous.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job roles:

• Drive projects and conduct advanced analytics on related service data using more complex statistical analysis approaches and tools.
• Identify and suggest innovations for data analytics approaches to more effectively detect insights on service process & performance.
• Develop data visualization methodologies and tools to present feedback data analytics findings to management.
• Provide guidance to other stakeholders by using customer insights to support decision-making in operational functions.
• Review and identify ways to improve service data usage, data quality and data management.
• Any other duties that are required to support the team’s objectives.

What you will do:

• Work with all relevant parties/stakeholders to collate business requirement; Undertake and initiate any data analytics requests as directed by management.
• Participate in data management workgroup and committees to drive and support cluster/institution data analytics initiatives.
• Lead and support in problem analysis, opportunities identification, improvement measures definition and proposal recommendation to supervisor, workgroup and management.
• Support the curation and maintenance of data catalogue, Business Intelligence/AI projects etc. Guide and provide advice to users on the right datasets to be use.
• Review and support the users in the report enhancement.
• Plan, Design & Implement various Service Business Analyst Tools by utilizing related technology including AI/Machine Learning, to provide best in class business intelligence opportunity internally, be able to perform business both from pro-active way and re-active way.
• Secure UDIS Uptime & Retail internal awareness & competence to make best use of Business Analytic Tools.

** There is opportunity to convert this position to a permanent role.

Required Competencies / Experiences:

• At least a Bachelor's Degree in Computer Science/Information Technology or equivalent
• Fast learner with eye for details, proactive and self-motivated team player
• Flexible, open to new ideas and able to implement solutions effectively and independently
• Customer service-oriented and strong analytical mind with inclination for problem solving
• Ability to clean and analyse huge datasets using advanced data management and analytics tools (e.g. MS Excel, Power BI, SAS, Tableau, Qlik Sense etc)
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python is a merit
• Good analytical, problem solving and project management skills.
• Good written and presentation skills
• Able to interact and work well with people at all levels
• Knowledge of automotive aftermarket is a merit
• Good communication skills (written and oral) in English
• Fully proficient in Microsoft Office applications

We, at RegASK are a high growth global RegTech company leveraging technology and a worldwide network of experts to revolutionize regulatory intelligence, focused on serving the LifeSciences (MedTech, CROs, Pharma) and FMCG industries (Food, Personal Care). The RegASK team is highly diverse with more than 10 nationalities across 3 continents, entrepreneurial and very agile, enjoying the benefits of working across industries and around the world. RegASK completed its series A funding round in December 2022 and is currently recruiting highly motivated talent to expand its team and support its ambitious growth plans.

RegASK is an international, diverse and rewarding place to work. If you are a builder, highly autonomous in your working style, and eager to problem solve, we would love to hear from you.

RegASK is part of Sprim Global Investments portfolio, a group of 500+ people in 19 offices across 6 continents, dedicated to finding solutions, discovering innovations, and implementing new ideas to deliver better health.

THE POSITION

Title:

Data Visualization Specialist

We are seeking a highly skilled Data Visualization Specialist to join our team. As a Data Visualization Specialist, you will be responsible for translating data and insights into compelling visual narratives that drive informed decision-making. You will work closely with our data analysts, data scientists, engineers, and other stakeholders to create impactful data visualizations that deliver valuable insights.

Key Responsibilities:

• Data Analysis: Collaborate with data analysts, data scientists, and subject matter experts to understand the data and the insights that need to be conveyed through visualizations.
• Design: Develop visually engaging and user-friendly data visualizations that are tailored to the target audience and objectives.
• Tool Selection: Choose appropriate data visualization tools and technologies based on the nature of the data and the desired output (e.g., charts, graphs, dashboards).
• Data Preparation: Clean, preprocess, and format data to make it suitable for visualization. This may involve data analysis, cleaning, transformation, and integration.
• Visualization Development: Create dynamic, interactive and static data visualizations using Power BI and Python (Matplotlib, Seaborn). Other tools like Tableau or D3.js are bonus, and might be used in the future.
• Interactivity: Implement interactive features in visualizations, allowing users to explore data, filter information, and gain deeper insights.
• Testing and Validation: Ensure the accuracy, functionality, and performance of data visualizations through testing and validation processes.
• Optimization: Optimize data visualizations for performance, responsiveness, and scalability, especially when dealing with large datasets.
• Feedback and Iteration: Gather feedback from stakeholders and end-users and make necessary improvements to enhance the effectiveness of visualizations.
• Documentation: Document the data visualization process, including data sources, methodologies, design decisions, and best practices.

Requirements:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Master's degree is a plus.
• Proven experience (3+ years) in a data-oriented position (such as a Data Analyst or Data Engineer), preferably in a data-rich environment.
• Demonstrable proficiency in data manipulation and analysis tools such as SQL, Python, R, or similar.
• Good understanding of SQL and NoSQL databases.
• Practical hands-on experience with data visualization tool Power BI.
• Strong analytical skills and the ability to extract meaningful insights from complex data sets.
• Solid understanding of statistical concepts and methodologies.
• Excellent communication skills to convey findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work with large datasets.
• Problem-solving mindset with the ability to develop creative solutions to data challenges.

How to Apply:

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Visualization Specialist, please submit your resume accordingly.

We appreciate all applications, but only selected candidates will be contacted for an interview.

Thank you for considering joining the RegASK team. We look forward to reviewing your application!

[JR2023003186]

Job Description

Essential Duties and Responsibilities

• Design, implement, and optimize data pipelines to ensure efficient data ingestion, storage, and processing for training and fine-tuning LLMs, ensuring data quality, consistency, and relevance, via cloud computing technology.
• Ensure data quality and integrity throughout the pipeline, implementing appropriate data validation and cleansing techniques.
• Develop AI models using Large Language Models (LLMs) to build AI-driven applications such as chatbots, virtual assistants, and other natural language processing (NLP) solutions.
• Customize and fine-tune pre-trained LLMs foir specific tasks and domains, ensuring optimal model performance, while enhancing prompt engineering techniques at the same time.
• Continuously evaluate the performance of LLMs and fine-tuned models, implement optimization techniques to improve their efficiency.
• Evaluate model performance, perform relevant AB tests, and continuously improve accuracy, efficiency, and scalability.
• Collaborate with data engineers and analysts, product managers to understand project requirements, deliver AI solutions, and support the integration of AI models into scalable production systems.
• Stay up-to-date with industry trends and emerging technologies in data science, LLM research, and identify opportunities to apply these advances to improve existing projects.

Requirements

• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.
• Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask.
• In-depth knowledge of machine learning techniques, Natural Language Processing (NLP), deep learning.
• Proficiency in working with large-scale datasets, data preprocessing, LLMs fine-tuning, model evaluation, and prompt engineering.
• Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights.
• Excellent written and verbal communication skills for coordinating across teams.
• Has a Bachelor's, Master’s or PhD degree in computer science or similar discipline.
• 2+ years of experience in AI and data science, with a strong focus on LLMs and NLP.

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

• Develop features specified by the business analyst and prioritised by the product owner
• Participate to the necessary technical meeting
• Participate to agile meetings (daily, retrospectives, etc.)
• Participate to non-regression campaigns
• Be an active participant of the Orchestrade developer community with the associated rights and responsibilities (i.e.: rolling role of release manager)
• Be a driving force on technical and functional topics propositions
• Develop with quality and timely
• Raise alert adequately on the risks encountered during the conception of features (cost, delay, resources)
• Assist local support on incidents (P1 & P2) and urgent requests when appropriate to decrease impact and resolution time

Specific System within Front Office Booking and Risk is responsible for: (non-exhaustive list)

• Orchestrade
• Markitwire

Key Internal Contacts

• Orchestrade Business Analysts and Developers community
• Front Office, sales, operations and Market Activity Monitoring teams in APAC regions
• Hong Kong, Singapore, London and Paris support team to solve the application issues and business projects

Key External Contacts

• Orchestrade Vendor

Legal and Regulatory Responsibilities

• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence.

Qualifications and Profile

Mandatory

• Extensive development experience in C#, with an in-depth understanding of the CLR. Multiplatform .NET experience is a must.
• Deep familiarity with asynchronous programming (async/await, async streams, etc)
• Good experience with SQL and relational databases (E.g. MS SQL Server, Postgres, etc)
• Experience using and deploying CI / CD and related tools (e.g. Git, Jenkins, Azure DevOps, TeamCity, etc)
• Exposure to shell scripting: Bash on Unix/Linux platforms and PowerShell/Batch on Windows
• Autonomous, self-motivated and excellent team player

Good to Have

• Understanding of Native Interop: P/Invoke, structure layouts, C++/CLI, etc.
• Exposure to front office booking systems (E.g. Orchestrade, Murex, Summit, etc)
• Knowledge of Financial IRD products IRD and Capital Market FO environments
• Agile Development Methodology
• Other technical skills including Middleware (e.g. Kafka, MQ Series…), Monitoring, Batch Scheduling, Software Quality
• Security awareness and best practices
• Ability to work well under pressure

Other Professional Skills and Mindset

• Excellent communication and interpersonal skills
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Autonomy to include implicit deliverables in assignment based on best practices
• Strong appetite to learn both functional and technical new domain
• Appetite to participate to technical market trends and communities
• Strong sense of confidentiality

Education & Work Experience

• Senior level (minimum 10 years)
• Master’s degree in relevant specialties

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

• Position: Warehouse/Operation Supervisor (DATA CENTRE-SLA/SLO)
• Location: Benoi
• Working hours: 5 days, Monday to Friday (8.30am to 6.00pm)
• Salary (commensurate on experience): Up to $5200+ AWS
• Duration: Permanent
• Industry: Logistic

Main Responsibilities:

• Supervise, monitor, and direct the performance of Data Centre Services (Deployment of racks, trays, hardware, customer requests through ticket management, reverse logistics, supporting parts storage and replenishment)
• Monitor daily Service Level Objective (SLO) and Service Level Agreement (SLA) - (multiple sites)
• Develop an operational team strategy to achieve Service Standards & SLA KPI’s.
• Professionally monitor and train team’s performance, provide on the job coaching and evaluate performance, compare results to objectives.
• Recommend or initiate hiring, promotions, transfers or disciplinary actions.
• Conduct regular safety and task specific training both theoretically and practical.
• Ensure all services are completed accurately and on time, in accordance with customer policies, including safety requirements.
• Establish, maintain, and promote exceptional customer service.
• Properly maintain and inspect tools & equipment.
• Schedule Maintenance Services as necessary to maintain the facility’s infrastructure systems in accordance with maintenance programs including, but not limited to, 5S (floor and room organization, supplies, and upkeep).
• Always ensure an appropriate number of personnel on site.
• Oversees daily management of staff and manage the flow of Data Centre day-to-day operations
• Perform all services as efficiently as possible while limiting negative impact to the environment.
• Attend regular meetings with customers to report issues, analyze quality, review performance, and/or resolve issues.
• Correctly maintain and generate required reports, including trends surrounding the services.
• Correctly interpret and enforce company policies and safety procedures to ensure compliance.
• Manage team capacity & utilization for assigned tasks during normal operations SLA & standards
• Requires traveling to multiple sites if required.

Requirements:

• Minimum 2-3 years of experience in a similar role.
• Preferred Tertiary educational level.
• Must have Team Management experience.
• Must be comfortable working in a physically demanding environment.
• Ability to lift/move (~25 kg / 50 lbs.) equipment as required.
• Knowledge of machines, equipment and maintenance.
• Experience in handling multiple projects and tight timelines.

Email to [email protected]

Do visit www.facebook.com/search.personnel for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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

We are seeking an experienced and innovative Data Analyst to join our Greater China Reseller Operations Team, to provide actionable insights derived from sophisticated datasets. The ideal candidate will excel in redefining data into actionable insights, utilizing an integrated approach of analytics, has an eye for continuous improvement (dashboard building, automation and scripting), and machine learning methodologies. In this role, you will work closely with GC Leadership team to identify opportunities to tackle complex problems, drive data-driven decision-making, and contribute to the strategic direction of our business analytics initiatives.

Key Qualifications

• 5+ years of practical experience in a data science role, preferably in a business analytics setting.
• Skilled in the use of statistical tools and programming (including Python, SQL).
• Proven experience with machine learning libraries and frameworks.
• Strong understanding of data structures and algorithms, as well as database management systems.
• Excellent problem-solving abilities and experience in hypothesis-driven statistical testing.
• Proven track record in operationalizing models and integration into business processes
• Experience with Operations Research and optimisation techniques is a plus.
• Strong knowledge of supply chain processes including demand planning, inventory management, and logistics preferred
• Demonstrated skill in data visualisation and communication tools (e.g., Tableau).
• Ability to translate complex data insights into actionable business strategies.
• Exceptional communication and collaboration skills, with a track record of successful cross-functional collaboration.

Description

Your role includes detailed analysis of sophisticated datasets to discover trends and forecast outcomes, which will craft strategic initiatives. A crucial part of your job will be to not only articulate these predictive insights to senior leadership with transparency but also to operationalize these models, ensuring they are integrated optimally into business processes for real-world applications. The PAC RO team is the key operations liaison with Apple’s Reseller Partners and works with our partners to ensure that the supply chain run as efficiently as possible, in order to improve sell through across the fastest growing region globally. Join us as we blaze new grounds and grow our footprint.

Education

Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Additional Requirements

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

As a Data Engineer, you will work with a team to implement SaaS-based energy efficiency and customer engagement programs on behalf of our utility partners. You will collaborate with a diverse group, including a Project Manager, a Senior Implementation Engineer, as well as members of the Product Engineering, Product Management, and QA teams. Setting up new programs for our clients, and we rely on your input and expertise for our overall success.

Our Data Engineers rely on a diversified technical skill-set, including: data manipulation via complex SQL queries, experience on the Linux command line, shell scripting, and software development using high-level programming languages such as Java or Ruby. We do not expect you to immediately be masters of the full spectrum of technologies used, but through on the job training and coaching, you will gain the necessary skills required to launch the programs for new clients.

Description

What You'll Do

• Communicate with the IT resources of the client to explain technical requirements including web integration, single sign-on configuration, and transfer of data
• Analyze, transform, and load data from the clients to meet Oracle's data standards
• Integrate data with additional data from various 3rd party sources to generate a holistic customer profile
• Build and maintain a deep understanding of our products with the ability to explain them to others; think about how client customization and delivery can be sped up and improved
• Configure and customize Oracle's SaaS platform to meet the specific needs of each client
• Build long-term relationships with clients by launching programs from pilot phase to through large scale rollouts
• Collaborate with cross functional teams to operationalize new products and features

Required Skills/Experience

What You’ll Bring

• Minimum of 3-5 years of hands-on technical experience
• You enjoy sniffing out complex, technical issues and solving them
• You are able to write SQL for large data sets and have recent experience with relational databases, MySQL preferred
• You have experience in Linux and are not afraid of the command line
• You demonstrate some programming knowledge (most of our code is in Ruby and Java, but Perl, Python, shell scripting have their places too)
• You are a smart, talented engineer, looking for an exciting, fast-paced company to expand your toolbox and develop your skills
• Strong verbal and written communication skills

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

ADDITIONAL JOB DESCRIPTION

As a Solutions Architect, you will work with customers and other customer-facing roles to help design and optimize customers' use of Google Cloud to address their business problems. We scale our knowledge and learnings from working on customer problems by creating solutions, blueprints, and public strengths. In this role, you will work with customer employees from different disciplines and functional roles, and help decision-makers understand and choose the benefits of Google Cloud for their business to help drive growth and success. Your collaboration with other customer-facing roles within Google Cloud will help the various teams within customer organizations understand how to implement solutions running on Google Cloud.

Qualifications

JOB RESPONSIBILITIES

• Provide subject matter expertise around technical infrastructure and applications.
• Communicate across customer organizations and become a trusted advisor to decision-makers.
• Create content/strengths to scale your knowledge.
• Define the business case for solutions, and guide the solution through launch to market by working collaboratively with other go-to-market teams.
• Travel regularly up to 30% in-region for meetings, technical reviews, and onsite delivery activities.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related engineering field, or equivalent practical experience
• 10 years of experience in cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, competitive dynamics, and customer buying behavior
• Experience in Data analytics and Vertex AI within a cloud based environment

PREFERRED QUALIFICATIONS

• Master's degree in Computer Science, related engineering field, or equivalent work experience in a software/systems engineering or lead position
• Experience working with a variety of technology systems, designing solutions, or developing business applications
• Experience with Kafka, MapReduce, Hadoop, Spark, Flume, Hive, Presto, SparkSQL, BigQuery, and/or Dataflow/Beam
• Understanding of data and information management as it relates to Big Data or Streaming Data Pipeline
• Ability to translate/communicate complex technical concepts in an approachable way for broad audiences, empowering them with memorable and useful information

The Position

The department is responsible for development and maintenance of Capital Market applications used by worldwide users.

“Run the bank” is the first mission of IT department. It involves many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems.They are continuously working with business users, infrastructure engineer and system managers.

The candidate will join the Singapore Capital Market Run the bank team in charge of running application for capital market from Front-Office (Murex, Apex, Orchestrade…), Back-Office (Summit, Calypso…) and Market data referential (Asset Control..), Market Risk applications (in-house application on big data technologies).

It is a great first position to onboard in a IT banking domain, with many fundamental learning of what is the Information System of an investment bank. It provide step by step learning, starting from Level 1 support, then moving to level 2 and finally being part of the continuous improvement ande evolution of new application and process optimization.

Main Responsibilities

Application monitoring responsibilities

• Define and implement in coordination with the build team the needed application monitoring
• Supervise and monitor daily and monthly chains and handle user request by working closely with project, infrastructure and production teams
• Support overnight batches which take place during the Singapore Morning and early afternoon time to ensure that problems are swiftly analyzed and resolved to minimize down-time.
• Process and issue daily, weekly and monthly reporting on data quality of risk chain in which the activity is usually more intense on monthly run.
• Maintain programmable code outlined in technical instructions and specifications for software applications.

Incidents and Requests management (business users and others IT teams)

• Provide level 1 and level 2 application support to the business users (trader, risk manager, market risk monitoring operator, back-office and middle-office analyst, market data administrator,…)
• Analyze and manage incidents/problems/requests coming

Problem management and continuous improvement

• Prepare and maintain knowledge base for each of the application in the scope of the team in coordination with the build team and the ops team
• Collaborate with build team to assess the priority of the problem and follow-up the resolution, even contributing to the definition of long term solution.
• Provide non-functional requirement to the build team to implement monitoring as code whenever available.

The Support analyst should have a pro-active mindset in security, incident preventive measures, productivity and global improvement of the quality of service.

Qualifications and Profile

Mandatory

• Candidates should have 8+ years experience in support activity.
• Candidates should have ITIL knowledge.
• Experience in Software development or Devops team.
• SLA & KPI management, client communication & interaction
• Predictive analysis, consulting, escalation management
• Risk analysis and project execution
• Appetite for continuous improvement, out of the box solution and automation mindset
• Strong knowledge in XML, SQL, PL/SQL, MQ Series, CFT and Control-M.
• Knowledge of monitoring solution (E.g ITRS Geneos)
• At least 3-year experience with Jenkins, GIT (GitLab)
• At least 1-year experience in Ansible
• Shell scripting, Perl Scripting (not mandatory)
• Unix Batch creation

Good to have

• Experience with Docker/Kurbernetes
• Experience with Liquibase or equivalent
• General banking and finance understanding and knowledge
• Understanding of trade life cycle, financial products (Treasury, FX, Bonds, Credit, IRD…)
• Exposure to Capital Market FO/BO system (E.g. Summit, Kondor+, Murex…)

Other Professional Skills and Mind-set

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.
• Ability to work well under pressure
• Autonomous, self-motivated and excellent team player
• Strong perseverance and diligence towards attaining goals and effective time management

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Shift Timings:

• Person will have to work in shifts as support is requiring 24/6 Support.
• (00:00~9:00) (7:00 ~16:00) (15:00 ~1:00next day)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

• Marine Electronics & Telecommunication
• Basic $3000 - $3500
• 5 days (8.30am – 5.30pm)
• Location: Pandan Loop

Responsibilities

• Work together with the clients, either at our office or client’s locations, to understand their needs and translate them into an actionable plan with the team.
• Work closely and communicate effectively with project manager, and other project team members to create and deliver quality solutions for the clients.
• Perform quality control work, taking into considerations of the budget, schedule, and plans.
• Keep track of project status and provide regular reports.
• Assure all the deadlines are being met.

Requirements

• Min Diploma/ Degree in Engineering or other relevant
• No experience are also welcome

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

The Educational Data Technician (EDT) is directly responsible for establishing and maintaining sustainable data aggregation and integration for whole school educational data. This includes identifying, building and maintaining suitable platforms for the storage, transformation and display of educational data to support academic leadership and educators in making data informed strategic decisions. Responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, develop prediction systems, present the data in a clear manner, and propose solutions and strategies. Working closely with VP and HoT&L.

GESS is a K-12 International school offering both a German and International Baccalaureate curriculum, with 2700 students across three sections, Kindergarten, German Section and European Section.

The position is full time campus based.

Key Accountabilities - Main responsibilities

· Student attainment data (quantitative and qualitative) aggregation.

· Establishing mechanisms and support for automating and/or streamlining data input;

· Utilizing a data warehouse to store data longitudinally.

· Utilizing software to synthesize data and generate reports.

· Maintaining a web-based data dashboard, customizable to stakeholders.

· Works closely and collaborates with the Director of Technology and technology team as required.

· Work with the Vice Principal, Head of Teaching and Learning and Academic Directors to develop structures for collection, synthesis, and analysis of the academic student learning data to be collected (e.g., beginning-of-year/end-of-year tests, unit assessments, writing prompt results).

· Coordinate external testing systems (e.g., CEM, IB, PISA) to ensure testing logistics (e.g., technology support, scheduling, training) run effectively and efficiently.

· Generate and maintain reports, including a dashboard of indicators. This would include generating regularly scheduled reports (e.g., Annual Report, CEM results) and reports as requested (e.g., grade-level assessment results, PLC results).

· Develop data collection tools for use in classrooms that provide real-time analysis to inform teaching.

· Assist VP in gathering and reporting schoolwide academic data for internal use and board presentations.

· Liaise with third-party vendors on new technology and software opportunities to further enhance or develop reporting capabilities.

· Stay abreast of current developments related to educational data, data integration systems, and data applications.

· All other responsibilities and tasks as deemed appropriate by SLT and the Line Manager.

Technical and Soft Skills

· Bachelor’s degree

· Excellent collaboration, interpersonal, facilitation, and communication skills

· Knowledge and understanding of research techniques, program evaluation, and data and reporting dynamics (e.g., data analytics, business intelligence)

· Strong technology systems skills with expertise in databases, spreadsheets, formatting and reporting, and related applications

· Aptitude to learn new technology systems

· Experience leading change initiatives from conception to completion

· Ability to perform strategically and operationally

· Results-oriented, with demonstrated skill in using data to inform and improve programs

· Attention to accuracy of detailed information

· Ability to adapt quickly to changing priorities

· Team player and ability to work in a fast-paced environment and prioritize multiple activities

· Professional judgement handling confidential information

· A proactive and 'can do' attitude

· Ability to meet deadlines

· Critical thinking

Holmusk, a 2019 World Economic Forum Technology Pioneer, is building a leading real-world evidence platform in mental health. We leverage data and advanced analytics to accelerate research and improve outcomes in psychiatry across pharma, healthcare providers, and payers.

We are seeking an experienced NLP expert for the Senior Data Scientist (NLP) position. The position will serve as the in-house expert for NLP algorithms applied to healthcare problems and would be responsible for driving the custom NLP projects/ solutions for enrichment of Holmusk’s real world behavioral health database. If this description excites you, come join a diverse and collaborative team of engineers, designers, data scientists, health and business professionals who are passionate about improving healthcare.

Responsibilities

• Comprehend requirements for extraction of specific data from unstructured clinician's notes and be responsible for the complete life cycle of NLP model development, from problem definition and data collection to model training, validation, and deployment.
• Work on developing NLP models in collaboration with junior data scientists which encompasses code review, maintenance of code repositories and code/ model versioning.
• Work closely with cross-functional teams, including engineers, clinicians, and product managers, to integrate NLP solutions into broader systems and applications.
• Responsible for creating material including model insights, use cases and publications as required by managers, and ensuring scientific rigor in model development.

What We're Looking For

• Master's or Ph.D. in Computer Science, Data Science,Statistics, Applied Mathematics, Bioengineering or related fields from recognised institutes.
• Proven work experience of 3+ years in handling NLP projects.
• Proficient in Python/SQL, solid programming skills.
• Candidate with at least 3 to 4 years of experience in handling end to end NLP projects.
• Proven hands-on experience in pre-training, fine-tuning of large language models like BERT, GPT, Llama etc. for NLP tasks like information extraction, NER and text classification.
• Experience with continuous integration and deployment pipelines for machine learning/deep learning models.
• Good working knowledge of tools and frameworks, including but not limited to TensorFlow, PyTorch, AWS, MLOps, Docker, Lang Chain Agents, and other relevant technologies.
• Candidate who can stay abreast of the latest advancements in NLP and related tools and integrate them into the development process when applicable.

Preferred Skills

• Experience with generative AI and other specialized NLP techniques like prompt engineering, RAG etc.
• Knowledge of best practices in model explainability and interpretability especially in healthcare/biomedical domain.

At Holmusk we take pride in our diverse workforce and inclusive culture. We believe it takes all kinds of people to build the best products and bring real change to the healthcare space.

About Us

We're seeking a driven and skilled Credit Risk Data Scientist (1 year contract) to join our dynamic team. If you're passionate about predictive modeling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute to the development of credit scoring and risk mitigation strategies.

Responsibilities

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality production-ready code for the models that will be deployed in the production environment.
• Deploy the models in the MLOps production environment, and maintain and troubleshoot any production issues that arise with these models.
• Collaborate closely with Lending and Credit Risk teams to translate requirements into optimized models.
• Support regular model performance reviews, audits, and recalibrations.
• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Present model concepts and metrics to senior stakeholders and validators/auditors.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Ensure alignment with model governance, business, and regulatory expectations.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Why Join Us

• Make a significant impact on credit risk strategies and predictive modeling.
• Collaborative and innovative work environment.
• Opportunity to work with cutting-edge technologies and diverse datasets.
• Continuous learning and professional growth opportunities.
• Competitive compensation package and benefits.

DesCartes Program (Work Package 8) is looking for a Research Associate in Information Management & Harvesting: Smart Data for Hybrid Twin Digital Energy Systems.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

WP8 Augmented Hybrid Engineering

WP8 Breakthroughs

• Scalable and fast decision making, from sensor management to real-time predictions and robust control
• Practical implementation, managing complexity, uncertainty and technical constraints

WP8 Motivations

• Pure model-based or data-based approaches cannot lead to robust and explainable decisions
• Nonlinear behavior and component interactions are hard to predict in complex system-of-systems

WP8 Innovation

• Sensor placement combined with data fusion
• Hybrid twin synthesis with faster than real-time predictions
• Correct-by-design robust control and resource efficient h/w deployments at the edge

Job Description

Develop a methodology to prepare data according to physical constraints, and to adjust physical models to real situations captured by data. The idea will be to combining imperfect data from models, from observations distributed in time and space, exploiting any relevant physical constraints, to produce a more accurate and comprehensive picture of the system as it evolves in time.

State estimation methods of electrical distribution system, especially micro-grids with RES generation and EV charging will be considered. Physical models as well as AI models will be developed based on an existing micro-grid in Singapore from our partner EDF Lab Singapore.

EXPERIENCE & QUALIFICATIONS

Competences in some of the domains listed below will be highly considered:

• Applied mathematics
• Optimization and Control theory
• Physical modeling & Simulation-based engineering
• Constraints on real-world systems

Keywords:

1. Data science
2. Artificial Intelligence
3. Numerical Simulation
4. Engineering
5. Data Assimilation
6. Real-Time State Estimation

FURTHER INFORMATION & CONTACT

RA Salary range: 5500 to 7000 SGD (depending on suitability and experience)

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602

Interested applicants please send your resume to:

Email : [email protected]

– Please attach your full CV, with the names and contacts (including email addresses) of two character referees.

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.

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

As a Customer Engineering Manager, you'll lead a team of Customer Engineers who engage with business prospects and channel partners to understand and assess customer requirements, prepare and present demonstrations of Google Cloud technologies, and address and overcome technical objections that arise throughout the business process. You will lead efforts to drive solution innovation, working across the organization to identify the assets and tools to drive customer adoption. You'll also be responsible for investing in the team’s development and success, building a high performing, effective, and collaborative team.

Qualifications

JOB RESPONSIBILITIES

• Lead, inspire, and grow a team of Customer Engineers across the region who engage with prospects, providing technical discovery and solutions recommendations while working in partnership with customers. Manage and motivate a diverse collection of engineering professionals.
• Contribute to building a business that promotes exceptional growth and maintain motivation to work effectively in a highly dynamic environment.
• Engage directly with prospects regarding architecture discussions and best practices.
• Work cross-functionally with our Product, Support, Engineering, and Sales teams. Make presentations to represent the capabilities and services of Google Cloud.
• Hire, coach, and drive a team to work towards strategic goals, while prioritizing the delivery of an outstanding customer experience.

MINIMUM QUALIFICATIONS

• 15 years of technology related sales experience, with at least 5 years in a CE managerial capacity.
• Experience working with IaaS, PaaS, Big Data, SaaS, public cloud, or related industry and technical concepts.
• Experience developing strategy to lead Sales Engineering teams to meet business objectives.

PREFERRED QUALIFICATIONS

• Experience creating repeatable processes at scale in a pre-sales engineering organization.
• Knowledge of solution architecture.
• Ability to inspire and grow teams to their full potential in a business environment, while working across cross-functional teams to achieve common business objectives.
• Ability to present to both technical and non-technical audiences, engaging C-Level stakeholders in business and technology transformation.
• Excellent business acumen with distinctive problem-solving and investigative skills.