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]].

(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.

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.

• 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.​

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

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

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.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the second largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwidebusiness. We work daily with international branches located in 30 markets by:

· Envisioning and preparing the Bank’s futures information systems

· Partnering and supporting core banking flagships and transverse areas in their large scale development projects

· Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Our organization

Within the IT & Operations division, the department Digital Excellence Center (DEC) in Singapore is strong of 150 staff. Our center of excellence have established a recognized expertise on process digitalization and data analytics while our expertise on artificial intelligence is growing.

Every day, we work jointly with domain IT teams or directly with business stakeholders on digitalization of their processes and leveraging on their data while, in the background, we design, build and frame the next generation of shared services.

We strive at organizing ourselves as agile units that leverage on sound expertise and reusable assets for addressing needs of our internal partners effectively.

We value teamwork, collaboration across the board and partnership with our business - we measure our successes through the successes of our clients.

Context

Credit Agricole CIB is engaged in a major digital transformation of its Business and Operations. We believe having a strong data governance, data quality and data lineage in our value chains with other major disruptive technological evolutions.

Over the past years, we groomed our skills, expertise and experience at building effective Data Analytics solutions. We want to sustain and improve them with data management practices.

Role & Profile

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

§ at least a bachelor degree in computer studies

§ minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment

§ at least 5 years of development experience with using Microsoft Business Intelligencestack covering

o Tabular Analysis Service

o Data warehousing

o Performance tuning

o Data transformations and quality checks

o Power BI dashboarding and reporting

§ good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps

§ ability to design and present technical solutions to architects and to team

§ proactive and problem solving attitude with ability to anticipate risks.

§ strong communication (written and verbal) and organizational skills

Key job responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Key Responsibilities:

- Understand the intricacies of Data Centers within your designated region.

- Conduct audits for power and mechanical capacity, and oversee upgrades.

- Collaborate with internal teams to troubleshoot and perform Root Cause Analysis (RCA) and Corrective Action (CA) for design-related issues.

- Liaise with local colocation partners to comprehend and synchronize site utility requisites.

- Offer after-hours support as necessitated.

- Undertake tasks such as rack setup, cabling, server powering, and handoff to internal provisioning units.

- Manage tasks via internal tools like JIRA and Confluence.

- Uphold meticulous documentation and adherence to SOPs.

- Assess and prioritize incoming and open tickets based on their severity.

- Manage inventory processes for data center equipment receipt, tracking, and shipment.

- Deploy, label, and repair fiber, copper, and telecom cables, alongside patch panel systems.

- Collaborate with project teams and colocation partners to validate the functionality of electrical and mechanical systems.

- Extend operational support encompassing failure mode analysis, root cause identification, maintenance assistance, best practices, procedural reviews, and more.

- Curate and maintain comprehensive technical documentation concerning corporate data centers and operational procedures.

- Collaborate with regional and business leaders to optimize performance, enhance reliability, and improve efficiency across collocated, leased, and owned data center infrastructures.

- Participate in operational reviews, gathering and analyzing technical data to pinpoint and rectify existing reliability and availability concerns.

- Offer expertise to address and mitigate global resiliency, reliability, and availability risks.

- Facilitate the intake, evaluation, and resolution of issues related to collocated, leased, and owned data center builds, focusing on the provision of quality improvement recommendations.

- Collaborate with internal teams to set and maintain standards, ensuring consistency and reliability in service delivery.

- Emerge as the go-to technical authority within the team and across other departments.

- Approach challenges with a positive attitude, consistently offering innovative and creative solutions.

Qualifications:

• Bachelor of Science degree in Computer Science, Information Systems, or equivalent work experience.
• 5-12 years of experience in Data Center infrastructure Operations support and server administration in a mid-sized environment (200 - 1000+ server systems).
• 5-12 years of incident management experience, responding to electrical and mechanical failures, focusing on incident resolution and lessons learned.
• Proficiency in two or more of the following areas:
• Power capacity allocation for high and low-density racks.
• Incident management and resolution for outages related to M&E.
• Systems administration (Linux and/or Windows Servers).
• Networking (DNS, TCP/IP).
• Proficiency in data center design, commissioning, and operational best practices.
• Track record of executing Method of Process (MOP) improvements.
• Exceptional problem-solving skills and a penchant for delving into system intricacies to resolve customer issues.
• Excellent oral and written communication skills.
• Strong adherence to processes, assuming the role of a process champion.
• Effective influencing skills.
• Ability to work independently with minimal direct management oversight.
• Experience supporting large Enterprise customers in an Operations environment.

Preferred Qualifications:

- Bachelor's degree or relevant work experience.

- 5+ years of enterprise data center experience.

- Familiarity with Linux administration or other command-line interfaces.

- 2+ years of experience in Structured Cabling (Copper/Fiber) and cable testing.

- 5+ years of experience in Cooling and Electrical systems concepts within data centers.

- Proficiency in repairing and working with enterprise server hardware.

Senior Executive/Assistant Manager, Data Analytics & Insights

Group Care Plan Operations

Data Analytics & Insights (DAI) team under Group Care Plan Ops will support and work in close partnership with NUHS senior management, Group Specialty Chiefs (GSCs), Management Decision Support (MDS) teams and other stakeholders to realise the delivery of One Specialty, Multiple Sites and a OneNUHS patient care philosophy. The DAI team will develop innovative analytics solutions and derive actionable insights to support management decision making towards attainment of NUHS vision and key priorities.

Responsibilities

• Identify data and information needs required to enable the vision and key priorities of the organisation.
• Collaborate with stakeholders to identify available and relevant datasets and make strategic recommendations on such collection, integration and usage.
• Develop, maintain and refine interactive dashboards using data visualisation tools such as Tableau.
• To assist in developing the timeline that will enable DAI to progressively meet stakeholder needs.
• Establish and prioritise dashboard and scorecard of key stakeholders and working collaboratively with Group Clinical Ops and Group Service Ops, to refresh the Dashboard and Scorecards on an ongoing basis.
• To be well versed with and keep updated on Epic and other operational applications in order to propose solutions that will address group operations management and senior management needs on operational excellence.

Requirements

• Bachelor’s Degree in Computer Science, Information Management, Mathematics, Statistics, Operations Research, Engineering or related disciplines with strong statistical modelling and machine learning skills.
• At least 3 years of relevant working experience with analytics tools e.g. SQL, Python, MS Excel (advanced), data visualisation tools (e.g. Tableau)
• Familiarity with healthcare setting is a plus.
• Fresh graduates with excellent data capabilities will be considered.
• Excellent interpersonal skills, attention to detail, and flexibility to collaborate across various team areas and functions.
• Possess can-do attitude and work independently in ambiguous situations.
• Strong analytical and problem-solving skills
• Proficient in extracting, cleansing, and interpreting complex data with attention to detail and accuracy.
• Able to communicate sophisticated data science concepts clearly through concise reports and presentations, effectively conveying observations and recommendations.

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 Data Manager in this role is responsible for supporting principal clinical investigators in the field of haematologic malignancies, specifically myeloma, stem cell transplantation, and cellular therapy. The primary focus involves both prospective and retrospective data collection for patients. The Data Manager plays a pivotal role in entering this data into databases and ensuring the integrity and accuracy of the information.

In addition to direct data management, the position involves active participation in research studies. This includes collecting data from patients enrolled in these studies and maintaining the databases associated with each project. The Data Manager contributes to the overall quality and success of the research initiatives by facilitating smooth data workflows. Furthermore, the role extends to providing necessary data for conference presentations, emphasizing the importance of disseminating research findings to the scientific community. The Data Manager also takes on the responsibility of maintaining up-to-date study status information by submitting essential documents and data to regulatory bodies, such as the Domain Specific Review Board (DSRB) and other relevant registries.

In summary, the Data Manager serves as a key collaborator in clinical research efforts, ensuring the comprehensive and accurate management of data related to haematologic malignancies. This role encompasses various tasks from data collection and entry to study maintenance, regulatory compliance, and support for conference presentations.

Duties and Responsibilities

Primary Responsibilities and Duties (80%)

1. Collect Clinical Data for Research Studies:Ensure proper consent is obtained from patients enrolled in research studies.
   Collect clinical data from various reports and clinical notes for accurate data entry.
   
2. Maintain Stem Cell Transplant (SCT) Research Studies Database:Regularly update and maintain the database for stem cell transplant (SCT) research studies.
   Assist Clinical Research Coordinator(s) in creating and maintaining site files.
   
3. Manage Study Status Updates:Submit necessary documents to the Domain Specific Review Board (DSRB) to maintain study status updates.
   Assist Principal Investigator (PI) in preparing research study protocols and document submissions to DSRB.
   
4. Coordinate Data-Related Clinical Research:Act as the main coordinator for data-related aspects of clinical research projects.
   
5. Data Extraction and Reporting:Extract data for analysis and generate reports for publication, conferences, or presentations.
   Provide required data to the Principal Investigator (PI) for conference presentations.
   

Secondary Responsibilities and Duties (20%)

1. Analysis and Report Writing Support:Assist with data analysis and contribute to report writing for research projects.
   
2. Support Value Driven Outcome (VDO) Projects:Work collaboratively with the Value Driven Outcome (VDO) team.
   Provide data required by the VDO team within given timelines.
   
3. Ad-Hoc Research Duties:Complete other ad-hoc research duties assigned by the Research Officer (RO) or Principal Investigator (PI) within specified timeframes.
   

Requirements

Qualification Required and Area of Discipline:

• Bachelor's degree in Biomedical Sciences/Biological Sciences or its equivalent.

Required Competencies and Capabilities:

1. Experience:Preferably has 3-5 years of experience in data management.
   Experience in Stem Cell Transplantation and/or cellular therapy.
   Experience in Haematology and/or Oncology related jobs.
   
2. Technical Skills:Proficient in word processing applications such as Microsoft Word, Excel, and PowerPoint.
   Statistics skills for data analysis.
   
3. Interpersonal Skills:Strong interpersonal skills.
   Ability to work effectively as part of a team.
   
4. Critical Thinking:Critical thinking skills for problem-solving and decision-making.
   
5. Learning and Adaptability:Willingness to learn complex medical science concepts and methodologies.
   Ability to adapt to evolving medical and research environments.
   
6. Self-Motivation:Self-motivated with the ability to work independently.