Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

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. We are 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 Engineer

We are seeking a highly skilled Data Visualization Specialist to join our team. As a Data Engineer, you will play a crucial role in the development and maintenance of the company's data architecture, databases, and data processing systems. Your responsibilities will include designing, constructing, installing, and maintaining efficient data systems, ensuring optimal performance, availability, and security.

Key Responsibilities:

• Develop and maintain robust data pipelines to support the collection (web scraping), processing, and storage of large datasets.
• Implement and manage CI/CD pipelines using tools like GitHub Actions to automate build, test, and deployment processes.
• Containerize applications using Docker for efficient deployment and scalability.
• Orchestrate containerized applications using Kubernetes to ensure reliability, scalability, and high availability.
• Design, deploy, and manage message queuing systems (e.g., RabbitMQ) for asynchronous communication between microservices.
• Write clean, efficient, and maintainable code in Python to implement data processing algorithms and services.
• Work closely with data scientists and analysts to understand data requirements and implement solutions to meet business needs.
• Collaborate with DevOps engineers to optimize infrastructure and ensure seamless integration of data engineering solutions.
• Monitor system performance, troubleshoot issues, and implement optimizations to ensure efficient data processing and storage.
• Stay up-to-date with emerging technologies and industry trends to continuously improve our data engineering practices.

Requirements:

· Bachelor's degree in Computer Science, Engineering, or related field.

· 2 to 3 years of experience as a Data Engineer or similar role.

· Strong proficiency in GitHub Actions, CI/CD pipelines, Docker, Kubernetes, and message queuing systems (e.g., RabbitMQ).

· Advanced programming skills in Python, with experience in data processing libraries (e.g., Pandas, NumPy).

· Experience with cloud platforms, preferably Azure, but familiarity with any other cloud provider (e.g., AWS, Google Cloud) is acceptable.

· Ability to work independently and proactively, with a strong sense of ownership and accountability.

· Excellent problem-solving skills and the ability to learn new technologies quickly.

· Strong communication and collaboration skills, with the ability to work effectively in a team environment.

How to Apply:

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Engineer, 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!

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

To support the fast-growing data analytics team within Consumer Division (CD), we are looking for a competent Data Analyst to join the team in providing digital user behaviour insights on our websites and apps, to drive new subscriptions and increase monthly active users.

This Data Analyst will be deriving insights and developing dashboards with internal and external data, including but not limited to marketing and engagement campaigns, conversion levers and checkout flows. This role is expected to be highly independent, support insights projects through the entire analytics lifecycle, and be the glue between business and data.

This role will be expected to go beyond being an “analyst”. This involves understanding how different systems work, read through systems documentation on data endpoints, work with Tech to plan user behaviour tracking requirements, handle UAT to test those tracking plans, write automated ETL scripts, understand marketers’ user requirements and build/maintain the dashboards required. Recording of checks to ensure accuracy of data/insights before presentation to stakeholders will be a basic expectancy for this role.

This role will partake in new ideas and face unknowns that come with changing business demands and technical industry trends. The Analyst must be willing to explore & tackle said unknowns, and be involved in cross functional projects to ensure data related to CD data objectives are well-governed.

Roles & Responsibilities

Data acquisition

• Support Division’s need for subscriptions and revenue related data dimensions and metrics.
• Work closely with other stakeholders from SPHTech source for new behavioural/ demographic data dimensions and metrics relevant for the Division’s growth.
• Liaise with data engineers from SPHTech to ensure healthy ETL of the Division’s behavioural metrics.

Data documentation and accuracy

• Maintain high quality and proper documentation of analytical work done.
• Ensure your work, including analysis and insights are accurate and validated.

Data analysis, insights and forecast

• Contribute to analytical insights of behavioural metrics, including but not limited to content consumption, paywalls and checkout flows.
• Collaborate with the commercial analytics team to draw end-to-end insights of our readers and customers.

Dashboards

• Develop and maintain dashboards that track the readers and customer’s behavioural journey to inform marketing campaigns.

Requirements

• Proficient with at least one dashboard / business intelligence tool. Tableau and Quicksight preferred.
• Experience in creating compelling data reports, drawing actionable insights & visualisations.
• Strong data storytelling and presentation skills, with the ability to communicate findings in a clear and actionable manner.
• Experience in data extraction, aggregation, and processing with SQL. Experience with AWS Glue, Pyspark will be a bonus.
• Proficient with spreadsheets.
• Working experience with Google Analytics 360 / Google Analytics 4 / Google Tag Manager will be a bonus.
• Familiarity with marketing performance tracking and A/B testing concepts. Experience with machine learning is a bonus.
• Domain knowledge on subscription business models is a bonus.
• Exposure and understanding of digital media industry metrics is a bonus.
• Track-record of independent learning and problem-solving.
• Keen interest in stakeholder management from various backgrounds, including data engineers and product/ platform owners.
• Good time and project management skills, able to multitask, and most importantly willingness to learn.
• At least 1 year of experience in data analytics.
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields.

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Generate sales leads
• Identify and assess clients’ needs to achieve satisfaction
• Build sustainable relationships and trust with clients' accounts through open and interactive communication
• Provide accurate, valid and complete information by using the right methods/tools
• Meet personal/customer service team sales targets and call handling quotas
• Keep records of customer interactions, process customer accounts and file documents
• Follow communication procedures, guidelines and policies
• Take the extra mile to engage customers

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

P0005

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· To understand each department’s daily processes e.g., marketing, sales, human resource, operations etc.

· Be open to learn new things and enjoy the learning journey

· Job rotation between various departments

· Participating in meetings, workshops, and events

· Compiling analysis and making presentations to other team members

· Completing fieldwork and providing evaluation analysis of the company’s services

· Learn various staff functions, including management viewpoints, company policies and practices affecting each phase of business

· Fulfilling any requirements and meeting goals set out at the start of the traineeship

· Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties

· Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

· Report on company progress

· Compile and evaluate performance reports

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

P0003

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· Contributing ideas to marketing campaigns

· Coordinating promotional activities and events

· Monitor market trends, analyze consumer markets activities to identify opportunities

· Create content for a range of marketing distributions (brochures, social media platforms, website material etc.)

· Monitoring performance of marketing campaigns

· Develop new marketing initiatives such as social media, events or crossover collaborations to strengthen engagement with target audience

· Work with in-house designer to ensure design and production of marketing materials used for the events are carried out accurately

· Maintaining websites and tracking data analytics

JOB REQUIREMENTS

· Minimum Diploma and above

· Prior experience in the marketing field will be an advantage

· Results-oriented, ambitious and positive working attitude

EA Reg. Number: R21100629

EA License Number: 22C1278

P0005

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· To understand each department’s daily processes e.g., marketing, sales, human resource, operations etc.

· Be open to learn new things and enjoy the learning journey

· Job rotation between various departments

· Participating in meetings, workshops, and events

· Compiling analysis and making presentations to other team members

· Completing fieldwork and providing evaluation analysis of the company’s services

· Learn various staff functions, including management viewpoints, company policies and practices affecting each phase of business

· Fulfilling any requirements and meeting goals set out at the start of the traineeship

· Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties

· Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

· Report on company progress

· Compile and evaluate performance reports

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

P0002

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· Arranging and hiring manpower required to stage an event into their various departments

· Responsible for providing leadership, motivation, direction, and support to team members

· Travel on site to inspect ongoing arrangements, preparations, and changes needed to meet the needs of the client

· Ensuring compliance with insurance, legal, health and safety obligations

· Communicating with the Public Relations and Marketing department to promote and publicize event

· Engaging with vendors throughout the event planning process to learn requirements and goals

· Perform post-event tasks promptly such as measuring the success of the event, objectives that were set for the events as well as review for improvements

· Research market, identify event opportunities and interest generation

JOB REQUIREMENTS

· Diploma in any field

· Prior experience in the events industry will be an advantage

· Results-oriented, ambitious and positive working attitude

EA Reg. Number: R21100629

EA License Number: 22C1278

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Nets Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asias Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. Its uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

Job title: Operations Admin / Operations Safety Coordinator (Entry levels are encouraged to apply)

Report to: Safety Manager / Operations Manager

Key Responsibilities:

• Assist in the development, implementation, and maintenance of safety policies and procedures.
• Assist in operational matters.
• Assist in regular safety inspections and audits to identify potential hazards.
• Maintain accurate records of safety incidents, near misses, and corrective actions taken.
• Collaborate with department managers to address safety concerns and implement corrective measures.
• Assist in the preparation and submission of safety reports to regulatory agencies as required.
• Provide administrative support, including scheduling meetings, preparing documents, and managing correspondence related to safety initiatives.
• Assist in the procurement and maintenance of safety equipment and supplies.

Qualifications:

• Diploma/Degree in business administration or equivalents.
• Proven experience in a similar role.
• Ability to prioritize tasks effectively.
• Strong attention to detail and accuracy in record-keeping.
• Excellent communication skills, both verbal and written.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

Benefits:

• Competitive salary commensurate with experience.
• Opportunities for professional development and advancement within the organization.

How to Apply:

If you are passionate about safety/operations/administrative, we encourage you to apply by submitting your resume to [[email protected]].

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

About Us

When you work with us, you’ll find that we deliver results; without compromising on respect. We value each other’s differences while recognising individual strength.

We are the world’s leading contract logistics company. We create competitive advantage for our customers through customized warehousing and transportation services. We combine our global scale with local knowledge and sector expertise.

At DHL Supply Chain (DSC), there's more to a role than the work we do. Whatever your role is, we never forget that you make us who we are. We work hard to make sure a career with DHL is as satisfying and successful as it can be.

Join a supportive work environment where you’ll have the tools and training you need to grow and succeed.

DHL Supply Chain is Great Place To Work® certified.

Responsibilities

• Implementing HR Business Intelligence, Data Analysis & Analytics plans to analyze organization and people data from different sources to inform business decisions

• Researching and evaluating issues with HR reporting solutions and ensuring the application of Business Intelligence (BI) Data Analysis & Analytics tools/methods that enhance business decision making capabilities

• Consolidating internal and external HR / Finance / Operations data sets and conducting respective (management) reporting through the development of HRMS and/or Power BI solutions

• Prioritizing escalated issues arising from HR reporting and analytics solutions and coordinating with other subject matter experts to improve usability, accuracy, and effectiveness

• Developing and deploying complex HR / Payroll reports and reporting tools, and assessing analytics effectiveness on an ongoing basis

• Applying advanced technical skills (SQL, Power Query, Python) to quickly identify patterns, insights, anomalies, and solutions to deliver operational and strategic insights for decision-making

• Supporting in communicating information effectively to senior management, conveying technical information to non-technical audiences

• Applying best practices for BI, data modelling, data transformation, and data governance in HR process areas; and providing inputs that maximize the usability of organization and people data for decision making

• Drafting plans determining which Business Intelligence (BI) Data Analysis & Analytics solutions will enable the enterprise to achieve defined business goals

Requirements

• HR functional knowledge and technical knowledge around data and reporting

• Advanced data cleansing/data transformation experience within the HR space

• HR Data quality analysis and reporting experience

• Data manipulation skills: Advanced SQL, Excel, Power BI – Power Query, DaX, Dashboard experience

• Data visualization experience: python, intermediate to advanced Oracle HCM Analytics – OTBI and BI Publisher

• Demonstrated ability to work cross functionally/divisionally with colleagues

• Continuous improvement mindset and approach to work

• Strong stakeholder management and influencing skills

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Coordinator to join our Singapore team.

Globally, with greater emphasis on personal data protection and integrity of clinical data, the Data Coordinator plays an important role and contributes to the success of clinical trials. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Track case report forms;
• Clean and update the clinical database, which includes generating and resolving data clarifications;
• Reconcile clinical data
• Maintain study documentation
• Perform QC audits of the clinical database

Qualifications

• Bachelor's degree in a health related field with strong attention to detail and working knowledge of Excel and Word
• 1-2 years of experience in a pharmaceutical or CRO setting preferred
• Knowledge of medical terminology is preferred; and
• Office hours, 9:30am to 6:30pm to be worked over 5 days between Monday to Saturday (Saturdays being rotational). Able to work on rotational public holidays.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

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

JOB DESCRIPTION

As the Senior Manager, Project Management, you will support the delivery of large Data Centre Projects from their inception to completion, or, depending on your experience, lead our small to medium scale projects. Initially, your team will work closely with “Technical Solutions” to manage the development of the Design, and, with “Procurement” for the LLE & Tendering of Contracts. You will then support the SPM or lead your team in overseeing the construction and commissioning of the project. Working closely with the Authorities, Consultants, Contractors and Suppliers and seamlessly working with both internal and external stakeholders to ensure that the project is completed Safely, to the right Quality, On Time and within Budget. Once the project is commissioned, you will support the SPM or lead the handover of the project to our Operations Teams and end users/tenants.

Note that you will be based in Singapore but may be required to travel overseas for work if you are tasked to assist on overseas projects.

Job Responsibilities:

• Lead (or assist) in the delivery of the projects and be responsible for project performance
• Lead (or assist) in the execution of the technical qualification and planning of pre-deals as the Head of Department shall direct. Lead and manage Deputy Project Managers and Engineers to generate project cost and planning structure for prospective deal engagements
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the approved procurement process
• Lead (or assist) in the execution of approved project plans and manage Project Managers, Engineers, Site Supervisors and appointed consultants, contractors, suppliers and vendors to ensure general supervision of the project work and the management of site implementation and all project related matters
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all project related matters including but not limited to below:
  Site project management and track progress of project implementation against the approved schedule
  Cost reports including forecast cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
  Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
  Statutory Authorities matters
• Lead (or Assist) in managing the inspection of the Project Works at site together with the site team and report to the Senior Project Manager or Head of Project Management promptly on any non-compliance and status updates
• Work closely with the Safety Managers to ensure all construction safety requirements are met and strictly adhere to
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from site and execute the Project Handover timely to Client, Asset Owner and Operation team respectively
• Manage and execute other duties and responsibilities from time to time that are assigned by the Head of Project Management or Senior Project Manager

JOB REQUIREMENTS

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Strong leadership and communication skills
• Clear understanding of commercial & financial processes (Invoicing, approvals etc)
• Highly proficient in Microsoft Office (Word, Excel, Power Point)
• Very good Administration skills
• Be thorough and pay attention to detail
• Able to work well with others and have good customer service skills
• Able to use your initiative, flexible and open to change
• Strong time management & work well under pressure

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

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

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• At least 5 years of relevant experience
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation skills.

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

Hitachi Asia Ltd., a subsidiary of Hitachi, Ltd., serves as the regional headquarters for seven countries across Southeast Asia (Indonesia, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam).We are constantly increasing our presence through our forays in information & telecommunication systems, power systems, social infrastructure & industrial systems, electronic systems and equipment, construction machinery, high functional materials and components, automotive systems and home appliances, among many more. Our commitment to excellence drives us to continually expand our presence in the region.

Key Job Duties:

To lead Social implementation of digital solutions that make full use of AI technology. Through collaboration with academia, grasp the latest AI technology trends and disseminate them internally.

1) Industry Awareness and External Network
Scout and standardize market research methods to identify innovative industry trends, disruptors, and new market spaces for emerging or new market opportunities.

2) Innovation Strategy, Pipeline and Roadmap
Champion an innovation stream within the innovation road map, ensuring the right resources are in place to execute on the strategy.

3) Win Research Funding
Contribute to developing business cases for research funding to quantify current costs, justify project investment, and identify the return on investment.

4)Research
Develop and/or deliver a plan for significant aspects of a research program with guidance from senior colleagues.

5) Product and Solution Development
Ability to conceptualize solutions, conduct research and development on leading practices, an innovative individual, working with both internal and customer teams. Analyze and evaluate the feasibility and relevance of proposed complex products and services - and develop and amend as necessary with guidance from senior colleagues. May also be responsible for supervising activities performed by a product development or specialist team.

6) Information and Business Advice
Provide specialist advice on the interpretation and application of policies and procedures, resolving complex or contentious queries and issues and enabling others to take appropriate actions.

7) Knowledge Management
Develop policies and processes, create best practices, set up case studies, and deliver internal knowledge-sharing sessions to capture, and share knowledge on project/program outcomes and innovative practices in a particular area of expertise to share knowledge among colleagues and to support the practice.

Qualifications:

• Master degree preferably in Engineering, Computer Science, Statistics, Economics, Mathematics or related quantitative field.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• 3 or more years of relevant of work experience in hands on data science, Data/ ML engineering.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports.
• Excellent written and oral communication skills in English.

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

Head, Data Engineering and ArtificiaI Intelligence (AI) at the National University of Singapore (NUS) Yong Loo Lin School of Medicine (NUSmed) is entrusted with a multifaceted role that involves shaping a long-term vision for harnessing the power of data across the 10 Translational Research Programs (TRPs) under the guidance of the Vice-Dean (Research). These programs encompass critical initiatives such as Assoc. Prof Jason Lee's Heat Resilience and Performance Centre, Prof Michael Chee's Centre for Sleep and Cognition, as well as numerous associated clinical trials.

A core aspect of this role revolves around the strategic architecture and leadership required to establish a robust Common Data Infrastructure for research cohorts. This infrastructure aims to achieve significant cost savings by streamlining data management processes, enforcing rigorous data governance and privacy compliance, and optimizing research efficiency throughout NUSmed. Moreover, this role is at the forefront of championing the adoption of cutting-edge AI and Machine Learning (ML) capabilities in the realms of healthcare and biomedical research. Notably, it places a strong emphasis on the application of core frontier technologies like Explainable AI (XAI) and Privacy Preserving Technology (PPTech) to drive rapid adoption in clinical settings, with the ultimate goal of enhancing the healthcare sector and extending its positive impact beyond. Furthermore, the Head actively fosters collaborative relationships with industry leaders, research institutions, healthcare clusters, and government bodies. These collaborations are instrumental in advancing interdisciplinary research, particularly in areas such as digital health and AI, where innovation and transformative breakthroughs are imperative. The Head is dedicated to the establishment of transformative training programs on incorporating computational methods to the medical fraternity. These programs are designed to equip researchers, medical students, and professionals with essential computational skills, empowering them to make ground-breaking discoveries and harness the full potential of machine learning for tangible, real-world impact.

Responsibilities include:
• Architect and lead the building of Common Data Infrastructure across research cohorts in NUSMed for computational efficiency, cost savings, data governance and setting the foundation for future exploitation (i.e. AI/ML capabilities)
• Establish cutting edge MLOps and LLMOps process flows to enable AI and ML to be applied at scale
• Lead programs to leverage on frontier technology to overcome obstacles in adoption of AI and ML in healthcare such as Explainable AI (XAI) and Privacy Preserving Technologies (PPTech)
• Lead and nurture engagement with important stakeholders in industry, research institutions, healthcare clusters and government
• Establish programs to advance interdisciplinary work between computational engineers with clinicians, as well as training programs on computational methods

Qualifications

• Bachelors or Masters in a quantitative discipline such as Computer Science, Engineering or Applied Mathematics
• Certifications in cloud technology (e.g. AWS) and scrum methodology (e.g. CSM)
• Demonstrated leadership with a strategic vision for advancing data-driven initiatives and AI adoption in healthcare
• Expertise in data engineering, AI, ML and healthcare systems
• Proven track record of delivering large scale data platforms
• Experience leading and growing highly technical teams
• Proactive with strong problem-solving, negotiation and communication skills interface with multiple stakeholders
• Ability to foster collaboration between technical teams and healthcare professionals for impactful projects
• Strong focus on achieving measurable impact through strategic data and AI/ML application in healthcare

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

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

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 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, 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.
• 1 year of experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, Operating Systems, Teamwork, Scripting, and Python.

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.
• Ability to communicate in English fluently in order to effectively communicate with representatives.
• Ability to lift/move 20 lbs of equipment as needed.

Responsibilities:

• Organize and maintain records of inventories.
• Update logs and documentation for inventory processing
• Move inventory and materials across facilities.
• Sort, label, organize and store inventory in the proper location.
• Report damaged or missing inventory to supervisors.
• Process inventory for delivery
• Scan delivered items and ensured quality.
• Remove inventory from trucks or shipping and delivery to proper location.
• Move materials from facilities to workstations, pick-up locations or other locations.
• Operate heavy machinery like forklifts to move or store inventory.

Knowledge, Skills and Experience:

• High school degree or equivalent
• Minimum 2 years of experience in logistics or relevant field
• License or certification as dictated by the state to operate heavy machinery as needed.
• Excellent verbal and written communication skills
• Familiarity with inventory software, and able to upload data into the company system.
• Pays attention to detail and monitors the quality of inventory.
• Highly organized and able to store items efficiently.
• Able to work independently in a fast-paced environment.

PRODUCT AREA

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

JOB DESCRIPTION

Help serve Google's worldwide user base of more than a billion people. Product Analysts provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Qualifications

JOB RESPONSIBILITIES

• Drive understanding of product usage and user behavior by analyzing log-based and experiment-based data.
• Provide proactive analytical thought leadership on product performance and opportunity areas.
• Design and monitor key metrics to report on team progress and guide decision-making.
• Design and measure experiments.
• Partner with cross-functional stakeholders (e.g., product management, engineering, user experience research, etc.) to influence product strategy.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years of experience with a Master's degree.

PREFERRED QUALIFICATIONS

• Experience working on products, search, creator growth, or multi-sided marketplaces.
• Ability to present to and influence executive-level audiences.
• Ability to learn new techniques, teach others, and support peers.
• Excellent problem-solving and critical thinking skills.

PRODUCT AREA

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

JOB DESCRIPTION

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

JOB RESPONSIBILITIES

• Operate, maintain, troubleshoot and repair electrical equipment in a data center environment. Provide Root Cause Analysis (RCA), recovery and prevention actions for service failure.
• Prepare and execute operation procedures, respond to work request/service failure and provide operational and technical expertise in required areas.
• Coordinate vendor support in repairs/replacement and support project implementation (e.g., site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Develop an understanding of the infrastructure design and sequence of operation.
• Prepare and conduct training to the team. Ensure safety rules and regulations associated with operating infrastructure.

MINIMUM QUALIFICATIONS

• Associate's degree, trade school certification, in a relevant technical field, or equivalent practical experience.
• 2 years of experience with electrical, mechanical, and controls systems, including: Feeders, Transformers, Generators, Switchgears, Chillers, UPS systems, ATS/STS/PDU/PMM/Air handling and CRAC units.
• Experience with SCADA, power monitoring system, building monitoring system, PLC programming.

PREFERRED QUALIFICATIONS

• Experience in troubleshooting.
• Knowledge of industrial networking, with the ability to coordinate with others in order to determine problems and implement solutions.
• Ability to follow the site’s environmental health and safety policies.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions.
• Ability to work non-standard hours and differing rotations/shifts.
• Ability to work in varying outdoor temperature conditions, perform material handling (e.g., lifting/shifting), and work on platforms, ladders, and under raised floors.