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]].

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

(Hiring for new branch located at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Mon.- Fri. Office working hours
• Salary Range: Basic salary $2,600 ~ $3,500 + Incentive/Commission + Creative Performance Bonus)

Responsibilities

• Responsible for developing long term customer relationship and maximizing customer retention;
• Support on pre-sale and post-sale, not limited to solution proposal on technical requirement, design & budget control, timeline management, etc. based on projects;
• Participate in industrial related exhibitions, marketing campaigns/events;
• Other ad-hoc duties assigned by the superior.

Qualifications

• Min. Higher Nitec in Engineering (any field), or equivalent;
• Entry level applicants with the right learning attitude and positive minder are welcome to apply as comprehensive On-Job-Training will be provided;
• Excellent written and oral communication skills
• Pro-active, possess technical and Negotiation/social problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work.

(We regret to inform that only shortlisted candidates will be notified)

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you 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.
• 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.
• 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.

Core Duties and Responsibilities

• Maintaining and administering computer networks and related computing environments including systems software, applications software, hardware, and configurations.
• Perform hands-on installation and maintenance tasks on network components such as routers, switches, and cables.
• Monitor network activity and configure network systems using complex computer software.
• Performing disaster recovery operations and data backups when required.
• Protecting data, software, and hardware by coordinating, planning, and implementing network security measures.
• Troubleshooting, diagnosing, and resolving hardware, software, and other network and system problems.
• Replacing faulty network hardware components when required.
• Maintaining, configuring, and monitoring virus protection software and email applications.
• Monitoring network performance to determine if adjustments need to be made.
• Conferring with network users about solving existing system problems.
• Operating master consoles to monitor the performance of networks and computer systems.
• Coordinating computer network access and use.
• Designing, configuring, and testing networking software, computer hardware, and operating system software.

Knowledge, Skills and Attributes

• Strong understanding of network infrastructure and network hardware
• Ability to think through problems and visualize solutions
• Ability to implement, administer, and troubleshoot network infrastructure devices, including wireless access points, firewalls, routers, switches, controllers
• Knowledge of application and network infrastructure protocols
• Ability to create accurate network diagrams and documentation for design and planning network communication systems
• Good analytical and problem-solving skills

Additional Requirements

• Diploma in information technology or related field of study with a network engineering focus.
• Relevant certifications, CCNA (Must), ITIL
• Knowledge on MS Windows administration, FortiGate FW, Radius, Tacacs

• 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

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Job Purpose

We have a data engineering lead regional opportunity available for an experienced candidate in the Greater China & Intercontinental Commercial Medical Digital & Tech Team.

Reporting into the Region Digital and Technology Manager, you will be tasked to support mostly data projects, operations and initiatives at the region level across 9 countries.

Responsibilities

Regional Data Projects and initiatives

• To oversee data projects, operations and initiatives in the GCI region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Able to oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Able to lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance

Stakeholder management

• Ability to manage relationships with Technology heads from each GCI countries, including business and commercial teams and global support teams
• To partner and ensure success of all country technology heads and their teams
• Maintain high level of customer service with business and commercial leads

Qualification

We are looking for professionals with these required skills to achieve our goals:

• Min bachelor degree in Computer Science or Computer Engineering
• Min 10 years of data management experience in technology role
• Min 8 years of experience in stakeholder’s engagement and management skills across all cross functional teams
• Demonstrated planning ability and strong organizational and executional skills, especially clear ownership of task at hand
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.
• Exceptional team player
• Ability to work independently, self-motivated, objective and solution oriented.
• Demonstrated professional and ethical behaviour.
• Proven data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI

Why Us?

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. ​

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.​

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JR: 389128

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

• Serve as the single-point of contact for all customer account management matters.
• Build and maintain strong, long-lasting client relationships.
• Negotiate contracts and close agreements to maximize profits.
• Ensure the timely and successful delivery of our solutions according to customer needs and objectives.
• Perform monthly/quarterly business progress updates to internal and external stakeholders.
• Develop new business with existing clients and/or identify areas of improvement to meet sales quotas.
• Forecast and track key account metrics (e.g. quarterly sales results and annual forecasts).
• Identify and maintain customer reference ability within the assigned account list.
• Prepare reports on account status, including Accounts Receivable and Contract expiry dates.
• Assist with challenging client requests or issue escalations as needed.
• Schedule one-on-one session with BRM staff per week to help/guide them in achieving their performance plan goals.
• Provide weekly and monthly reports to the Management regarding Sales Revenue Performance, Contracts Renewals and A/R Aging.

• Degree holder with minimum 6 years of working experience in customer accounts servicing and at least 2 years experience in leading a team.
• Applicants without academic qualifications but with more years of experience are welcome to apply.
• Excellent interpersonal and communication skills.
• A good team player and leader.
• Maintain a positive attitude focused on customer satisfaction.
• Working location: 1-Net (East) at Chai Chee

Job Overview:

We are seeking a detail-oriented and organized Data Entry Administrator to join our team. The ideal candidate will be responsible for accurately inputting and updating data into our systems, ensuring data integrity, and supporting the overall efficiency of the organization.

Key Responsibilities:

1. Efficiently input and update data into databases, spreadsheets, and other data management systems.
2. Verify and correct data discrepancies to maintain accurate records.
3. Perform regular data quality checks to ensure consistency and integrity.
4. Assist in the preparation and maintenance of reports, spreadsheets, and other documentation.
5. Collaborate with team members to resolve data-related issues and discrepancies.
6. Maintain confidentiality and adhere to data security policies.
7. Support the implementation and improvement of data entry processes.
8. Respond to data inquiries and provide requested information to internal stakeholders.
9. Follow established guidelines and procedures for data entry and management.
10. Adapt to changes in data entry procedures, software, or systems.
11. Embrace new tools and technologies to enhance data entry processes.

Qualifications:

• Minimum 'N' level
• Proven experience as a Data Entry Administrator or in a similar role.
• Strong proficiency in data entry and accuracy in handling large volumes of information.
• Excellent knowledge of data management software and Microsoft Office applications.
• Detail-oriented with strong organizational and multitasking skills.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication skills and a high level of integrity.
• Familiarity with data protection policies and confidentiality requirements.

Preferred Skills:

• Proficiency in Microsoft Office Skills and data entry software

How to Apply:

Interested candidates are invited to submit their resume and cover letter to [email protected]. Please include "Data Entry Administrator Application" in the subject line.

Termite Specialist Pte Ltd is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

Qualifications:

1. Minimum N/O Level
2. Proven experience as a Data Entry Clerk or similar role.
3. Strong typing skills with a high level of accuracy.
4. Proficient in data entry software and Microsoft Office applications.
5. Excellent attention to detail and organizational skills.
6. Ability to work independently and collaboratively within a team.
7. Strong communication skills.
8. Knowledge of data confidentiality principles.

Responsibilities:

1. Data Entry:

• Input and update data into the company's databases and information systems.

• Ensure accuracy and completeness of data by reviewing and verifying entries.

2. Typing Speed:

• Demonstrate a high typing speed and accuracy to meet daily productivity goals.

• Continuously work on improving typing skills for increased efficiency.

3. Quality Control:

• Conduct regular reviews of entered data to identify and correct errors.

• Collaborate with team members to maintain data integrity and consistency.

4. Documentation:

• Maintain organized and up-to-date records of all data entries.

• Generate reports and summaries as required by the team or management.

5. Confidentiality:

• Handle sensitive information with utmost confidentiality and adhere to data protection policies.

6. Communication:

• Collaborate with team members to clarify instructions and resolve discrepancies.

• Communicate effectively with other departments regarding data-related inquiries.

7. Adaptability:

• Adapt to changes in data entry procedures, software, or systems.

• Embrace new tools and technologies to enhance data entry processes.

8. Meeting Deadlines:

• Work efficiently to meet daily, weekly, and monthly data entry targets.

• Prioritize tasks to ensure timely completion of projects.

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

• 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.

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 successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

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

In this role, you will exercise domain expertise and drive engagements with both internal and external audiences. You will stay up-to-date on technology in analytics space, and make things happen through influence, passion and willingness to harness customer business opportunities, and deliver complex data analytics solutions.

Qualifications

JOB RESPONSIBILITIES

• Partner with the Data Analytics Specialists Leaders (i.e., Sales and Customer Engineering), Product Leaders and Executive Leadership to ensure solutions alignment with engineering, product priorities, and Go-To-Market (GTM) priorities.
• Work with Customer Engineering Leadership to develop and motivate a team of engineers spanning across APAC specialists in the areas of focus and assist in the delivery of published materials aligned to the specific specialist focus area, supporting Google Cloud solutions and use cases.
• Reflect the APAC customers, partners and field to influence a data-driven goal and direction for technology, solutions and use case development at Google Cloud.
• Travel up to 30% of the time as needed.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in a customer-facing role in the enterprise space, translating customer business needs into cloud centric solutions in the field of data analytics and big data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.

PREFERRED QUALIFICATIONS

• Understanding of Data Analytics and the business issues in adopting Data Analytics solutions.
• Ability to collaborate across organizational boundaries, build relationships, and import and export talent and ideas to achieve a broader organizational goal.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Excellent presentation skills, with the ability to deliver a professional business and technical pitch to the C-level and Board levels.