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 CareerPortal.

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 Department of Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline

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

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

Requirements

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

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

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

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

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

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

• Candidate with no experience is welcome
• Passionate about gaming industry
• Japanese MNC

Responsibilities

• Coordinate global game tournaments from inception to conclusion.
• Propose and implement creative enhancements to enhance publicity and engagement for diverse events.
• Oversee shop tournaments and handle PR materials for events.
• Manage event budgets, expenses, and negotiate favorable rates.
• Support various events, including mobile gaming.
• Collaborate with internal and external stakeholders for seamless event execution.

Requirements:

• Candidate must possess at least Diploma in Marketing
• Candidates with 3 years of relevant working experience would be considered as
• Excellent communication skills in English, both written and oral
• Must have basic knowledge of social media management

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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

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 Intelligence stack covering
  • Tabular Analysis Service
  • Data warehousing
  • Performance tuning
  • Data transformations and quality checks
  • 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 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

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

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Sales, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality of delivery.

Mission Context

Must be able to understand the functionalities and enterprise-wide data flows of Capital Marketing banking systems. Should be able to understand the criticality of business processes. Well versed in different type of testing; Functional Testing, Sanity Testing, Regression Testing, User Acceptance Testing etc.

Key Responsibilities

• Develop test cases and execute them in every Non-Regression Testing cycle.
• Create test data to perform test case execution.
• Automate the manual test cases and ensure the maintenance of test scripts.
• Run the automated test cases within UFT and BDD Selenium framework.
• Maintain the build job in Jenkins
• Defect and root cause analysis.
• Identify and implement automations to improve efficiency.
• Interact with other teams to perform Integration testing and Participation testing.
• Develop documentation for application knowledge transition.
• Interact with stakeholders, Dev and BAs.
• Create and Send daily execution reports to the clients.
• Undertake any other duties of a similar level and responsibility as may be required from time to time.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications

• 6+ years’ experience in IT.
• Strong analytical and problem solving skills
• Must have Scripting languages – VB Script, Java, Selenium
• Must have Tools knowledge– HP ALM, Jenkins, Putty, Micro Focus UFT, BDD Cucumber
• Good to have DevOps Tools knowledge: GIT, Jenkins, Selenium, Maven,
• Must have SQL Server – Database and SQL Query knowledge
• Must have Capital Markets domain knowledge
• Able to interact with senior management in Business and Technology, as well as technical colleagues
• Knowledge and experience of agile methodologies
• Excellent presentation skills including oral and written communication skills
• Enthusiastic, motivated team player
• Industry standard certifications in ITIL and SCRUM methodologies would be beneficial

Besides having greater experience on quality assurance, as a senior analyst the candidate is expected to lead discussions with architectural teams(functional and technical), different stakeholders , investigate and provide solution to compex business issues and promote continuous improvements.

Education Requirements

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

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

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

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

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

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

Requirements

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

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

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

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

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

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

Job Description:

• Lead a Big Data SRE team and oversee the development and maintenance of the big data ops automation platform, and improve the operation and maintenance management level of big data
• Monitor the performance and system stability of big data system in Shopee such as Hadoop/Spark/Storm/Kafka
• Provide technical expertise on big data-related businesses such as search engine, deep learning, and promote sustainable development of big data business
• Responsible for big data ops architecture review, capacity planning, cost optimisation, tracking and troubleshooting, and building a big data monitoring system to maintain overall stability and efficiency

Requirements:

• Bachelor’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Engineering, or other related fields
• Minimum 8 years of work experience in Big Data SRE, including 3 years of experience in managing a team
• Proficient in Linux system and script development in Hadoop/flink/hbase/ES/kafka/Druid/Clickhouse environment
• In-depth understanding of large-scale big data operation and maintenance architecture solutions
• Excellent communication and leadership skills

Job Description

The National University of Singapore intends to hire a Visiting Full Professor whose research focus is in statistics and data science.

The applicant should have demonstrated excellence in research, teaching and service.

Qualifications

Currently a Professor in Statistics or Data Science at a reputable university.

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.

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Statistics and Data Science

Employee Referral Eligible: No

Job requisition ID : 23752

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 Intelligence stack covering
  • Tabular Analysis Service
  • Data warehousing
  • Performance tuning
  • Data transformations and quality checks
  • 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 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

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

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Data Project Manager is responsible for leading and managing projects related to data analysis, data management, and data integration. They work closely with cross-functional teams to ensure the

successful execution of data projects, meeting project objectives, timelines, and budgetary constraints. The role requires strong project management skills along with a deep understanding of data-related technologies and methodologies.

Responsibilities:

Project Planning and Execution:

• Define project scope, objectives, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, schedules, and timelines.
• Allocate resources, including personnel, budget, and equipment, to ensure project success.
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Ensure adherence to project management best practices and methodologies.

Stakeholder Management:

• Engage with internal and external stakeholders to gather project requirements and expectations.
• Communicate project status, updates, and risks to stakeholders regularly.
• Manage stakeholder expectations and address any concerns or issues promptly.
• Foster positive relationships with stakeholders to ensure alignment and support for project goals.

Team Leadership and Collaboration:

• Lead and motivate cross-functional teams to achieve project objectives.
• Delegate tasks and responsibilities effectively, ensuring each team member understands their role.
• Foster a collaborative work environment that encourages knowledge sharing and innovation.
• Provide guidance, coaching, and mentorship to team members as needed.

Data Management and Analysis:

• Oversee data collection, processing, analysis, and interpretation activities.
• Ensure data quality and integrity throughout the project lifecycle.
• Collaborate with data scientists, analysts, and engineers to develop insights and actionable recommendations.
• Utilize data management tools and technologies to streamline processes and improve efficiency.

Risk Management and Quality Assurance:

• Identify potential risks and issues that may impact project outcomes.
• Develop risk mitigation strategies and contingency plans.
• Conduct regular quality assurance checks to ensure project deliverables meet established standards.
• Implement corrective actions as needed to address deviations from project plans.

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 6,800 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

Cheil is expanding and we are inviting candidates to join our new and growing Data-Driven Marketing Solutions team. Reporting to the Digital strategy director, We are seeking a talented and experienced Data Analyst to join our team and play a pivotal role in analyzing and optimizing the performance of Samsung.com, one of our key clients. The ideal candidate will have a strong background in data analysis, with expertise in Adobe Analytics and a passion for leveraging data-driven insights to drive strategic decision-making:

Data Analyst

Responsibilities:

· Utilize Adobe Analytics to track, measure, and analyze key performance metrics for Website and Application, including but not limited to traffic, user behavior, conversion rates, and campaign performance.

· Use additional analytics tool like GA4 or Appsflyer to track the specific performance of Application

· Conduct an analytics tagging audit by using the relevant debugging solution to validate if all events and visits are properly tracked by Adobe Analytics

· Develop and maintain dashboards and reports to provide actionable insights and recommendations to internal stakeholders and the client.

· Conduct in-depth analysis to identify trends, patterns, and opportunities for optimization, with a focus on improving user experience, conversion rates, and overall site performance.

· Collaborate with cross-functional teams including digital marketing, web development, and client services to implement data-driven solutions and drive continuous improvement.

· Automate a manual analytics process by using the advanced excel formula, and programming languages like Python and SQL if possible

· Stay abreast of industry trends, best practices, and emerging technologies in web analytics and digital marketing to inform strategic recommendations and enhance performance

Requirements:

· Minimum 5+ years’ experience in a full set of Adobe Analytics and other web analytics tools.

· Proven experience in data analysis, preferably in a digital marketing or e-commerce environment.

· Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.

· Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

· Detail-oriented with a focus on accuracy and quality of work.

· Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Preferred qualifications:

· Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

· Leading experience for analytics teams before

· Experience with SQL, Python, or other programming languages for data analysis.

· Knowledge of digital marketing concepts and strategies.

· Experience working with e-commerce platforms such as Shopify, Magento, or WooCommerce.

· Certification in Adobe Analytics or related field.

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]].

Responsibilities:

• Install and configure equipment on data center racks (servers, switches, routers, firewalls).
• Replace components in existing hardware (mainboards, CPUs, RAM, HDDs/SSDs, network modules, transceivers, cables).
• Conduct patching of fiber optics and Ethernet cables, ensuring accurate connections.
• Maintain tidy cable management for efficiency.
• Prepare servers for operation (OS installation, network/firewall config, application installation).
• Perform operational and maintenance tasks (cable tests, equipment power cycling, console interface setup for remote access).
• Troubleshoot issues (ping/traceroute, hardware tests, generate logs for vendor escalation).
• Manage inventory and ensure proper asset tracking.
• Enforce data center processes, access control, and compliance with rules and regulations.
• Escort external vendors to ensure premises security.

Requirements:

• Min Nitec in Computer Science, Information Technology or related disciplines
• Candidate with no experience is welcome to apply, training will be provided
• Proficient in equipment installation and troubleshooting.
• Strong knowledge of data center operations.
• Excellent organizational and communication skills.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Job Title

Order Entry and Logistics Coordinator

Summary:

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

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

Essential Duties and Responsibilities:

Include but are not limited to the following:

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

Qualifications/ Prerequisites:

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

Salary commensurate with qualification and work experience

The Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STR) is seeking outstanding faculties in clinical data science research.

The Bioinformatics Institute (BII) is a computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR. Our scientists aim to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support discovery from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and also from in-house efforts. The institute has a vibrant and diverse research portfolio that includes infectious diseases, computational toxicology, precision medicine, oncology and drug discovery.

Watch the videos of BII Scientific Conference 2022 to know more about the research by different groups in BII.

https://www.youtube.com/playlist?list=PLcenRySmzqv76JVbdzg3z5kndDHN3FzBk

Job scope and responsibilities:

1. Heading a laboratory specializing in either one of the following:

a. Quantum Computing for biomedical applications

b. Clinical data hub and clinical data analysis

c. AI and generative models in healthcare applications (e.g. synthetic data)

d. AI in drug discovery

2. Collaborate closely with clinicians and with faculties within the Bioinformatics Institute and within the local ecosystem.

3. Collaborate with industrial partners to translate technologies into the clinics.

4. Lead or participate in research grant proposals (~SGD5million to SGD15million quantum).

Requirements:

· Outstanding research outcomes with strong publication records

· Excellent communication (oral and written) and public speaking skills

· Strong records of strategic thinking ability

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 Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products.

JOB DESCRIPTION

****Use this template only when existing Job Description options don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview.****

ADDITIONAL JOB DESCRIPTION

In this role, you will be part of the Sellside Global Scaled Solutions team, which supports the publishers and helps drive accelerated business growth for them through our publisher business generation and platform solutions. The Global Partnerships Sales Engine (GPSE) team is a critical part of driving operational efficiency and scale in support of our publisher business generation and platform solutions. The GPSE team centralizes work away from sales teams so that business leaders can concentrate their efforts on client-specific activities.

As a data analyst on the GPSE team, you will have the opportunity to work with an extensive range of cross-functional teams on the Global Partnerships side of the business, to further evolve and scale GPSE support. You will also be managing the contracting and billing functions for GPSE.

Qualifications

JOB RESPONSIBILITIES

• Support Sales users via optimization, reporting and troubleshooting support.
• Maintain high service levels through meeting or exceeding CSAT, timeliness and efficiency goals.
• Support implementation and optimization for Google’s Programmatic business generation and Platform solutions.
• Provide consult and technical support to a global vendor team.
• Contribute proactively to the analysis and optimization of processes, internal tools and product to drive efficiency and scale.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in analysis, operations, project management, or a similar role.
• Experience using SQL.

PREFERRED QUALIFICATIONS

• Experience using business generation or Ad serving solutions (e.g., Google Ad Manager, AdMob, DV360).
• Experience in streamlining operational processes (e.g., automation).
• Understanding of online advertising solutions (e.g., Ad serving, business generation) and key platforms and trends (e.g., desktop, mobile, video).
• Ability to operate in a changing industry and work well with a team.

• Excellent practical understanding of machine learning techniques and algorithms
• Should have expertise in Graph analytics
• Good applied statistics skills, such as distributions, statistical testing, regression, etc
• Expertise in domain like AML and Compliance
• Experience with common data science toolkits
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Would be able to conceptualize requirement, Selecting features, building and optimizing models using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Hands-on experience on Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of performance of models
• Should have great communication skills
• Having experience working in a banking and compliance domain will be added advantage.

Job Description:

We are seeking a skilled and proactive Data Analyst to join our team. In this role, you will play a crucial part in supporting our business development decisions through data analysis and insights. Your responsibilities will include monitoring key indicators, identifying potential issues, and collaborating with various business units to provide data analysis services.

Responsibilities:

• Understand the consumer finance business thoroughly and provide data analysis and insights to the team, aiding in decision-making for business development.
• Monitor and track key indicators of the consumer finance business consistently, analyzing any unusual fluctuations and identifying potential issues.
• Foster effective communication channels with business units and offer data analysis services.
• Contribute to the design and enhancement of risk control platforms, and actively participate in the establishment, deployment, and monitoring of credit models and anti-fraud rules.
• Engage in data mining and various modeling tasks, including feature extraction, integrated algorithms (e.g., GBDT, XGBoost), neural networks, and facilitate the implementation and application of data mining and modeling techniques in the consumer finance business.

Requirements:

• Bachelor's degree or higher in Mathematics, Physics, Statistics, Computer Science, or a related field in College of Science (COS).
• More than 1 year of experience in data analysis and the consumer finance industry, with a strong understanding of consumer finance risk control strategies.
• Solid foundation in mathematics and computer science, with a proactive attitude toward self-learning and research.
• Proficiency in data analysis, including strong analytical skills.
• Proficient in working with databases, such as MYSQL, Oracle, MongoDB, Hive, etc., including knowledge of database operations.
• Proficiency in at least one data analysis tool, such as SAS, R, SPSS, etc.
• Proficiency in one or several programming languages, such as Python.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

• In the Demand Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. We are responsible for building ML models and serving them in production to support Grab’s Advertising and Marketing services.
• Our primary goals are to help consumers discover the most attractive product, to enable the most efficient marketing campaigns for our merchants/advertisers to meet their business goals, and to build a sustainable business on our platform.
• We apply machine learning, forecasting, recommendation and optimisation techniques to huge datasets in order to model how our consumers interact on our platform under different marketing strategies. We also continuously run large-scale live experiments to improve on our implementations.

Get to know the Role

Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our customers on our platform across multiple business verticals (eg, Food, Mart, Transport, etc) regionally

The Day-to-Day Activities

• Implement, validate, test, and deploy data science solutions to address particular business use cases, Scope of work includes, but is not limited to, customer segmentation, customer LTV, recommendation, conversion rate prediction, rank & re-rank, demand forecasting, campaign targeting and optimisation, etc.
• Continues improvement through iterative model enhancement and A/B testing.
• Collaborate with other data scientists, software engineers, and business operation teams to deliver business solutions.

The Must-Haves

• Master's Degree graduate in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field.
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization.
• Proven track record of fast learning of new data science and ML/AI technologies.
• Experience with machine learning framework (scikit-learn, Spark MLlib, Tensorflow, pytorch, etc)
• Proficient in one or more of the following programming languages: Python, Scala.
• Self-motivated, independent learner, and willing to share knowledge with team members.
• Detail-oriented and efficient time manage in a dynamic working environment.

The Nice-to-Haves

• Experience with building recommender systems, customer segmentations, campaign targeting, Ads bidding, campaign optimisation and etc.
• Experience with algorithm and model development for large scale applications.
• Hands-on experience with one or more big data processing frameworks such as Spark.
• Experience with applying CI/CD principles to data science projects.
• Experience with real-time data processing technologies such as Flink, Kafka, etc.

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

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 National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

The Fulfillment tech family is one of the pillars enabling Grab to out-serve our consumers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use sophisticated machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill consumer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and consumers.

Grab is Southeast Asia’s leading super-app. We provide everyday services such as deliveries, mobility, financial services, enterprise services and others to millions of users across the region. At the fulfillment machine engineering team, we are trying to solve challenging problems in the marketplace that involve dynamic pricing, supply and demand management. We are looking for senior machine learning engineers to join the team to help us make that vision a reality by developing and refining cutting-edge reinforcement learning models and simulation platforms.

Get to know the Role

This is a hands-on role involving building large-scale simulation platforms and reinforcement algorithms. You will have the opportunity to build a digital twin of Grab’s marketplace that consists of tens of thousands of consumers, drivers and merchants. Furthermore, you will have the opportunity to develop reinforcement learning, optimization and control models to solve business problems inside Grab’s marketplace and deploy them at scale.

The ideal candidate will have solid understanding of software development life-cycle and engineering practices, experience developing production ML systems, experience working on a range of regression/classification and optimization problems, experience applying reinforcement learning (or control theory), experience working with real-time streaming data.

The Day-to-Day Activities

• Architect and develop our simulation platform to simulate the response from the real marketplace that involves different types of services that Grab is providing
• Collaborate with product analysts, managers and business teams to define, prototype and build simulation SDKs to facilitate users to run simulations under different scenarios
• Architect and develop reinforcement learning frameworks to train and run reinforcement learning algorithms at scale, provide efficient optimization solutions to challenging business problems such as pricing, demand and supply management.
• Collaborate with data science and economists teams to solve difficult causality and behavior modeling problems for building more efficient simulation and reinforcement learning algorithms
• Engage in service capacity and demand planning, software performance analysis, costing, tuning and optimization.
• Participate in code and design reviews to maintain our high development standards.
  
  The Must-Haves
• A degree in computer science, software engineering, information technology or related fields
• 5+ years of experience in one or more of the following areas: general machine learning, deep learning, reinforcement learning (control)
• Solid understanding of engineering practices and design patterns, experience in writing readable, maintainable and testable code
• Familiarity working with VCS such as git, git-flow, understanding of full software development life-cycle
• Experience turning business problems into ML/AI-projects
• Experience with any ML framework, such as TensorFlow or PyTorch
• Proficiency in Python
• Experience in any of Scala/Java/Golang/C++
• Experience with any big data framework, such as Spark, Ray familiar with the concept of processing events in real-time
  

The Nice to Have

• A Masters or PhD in computer science, machine learning or related fields
• Experience working with streaming data using Apache Flink, Apache Spark
• Experience developing production quality ML Pipelines
• Experience with MLFlow, TensorFlow probability, TensorFlow agents, Ray RLLib
• Experience with distributed systems and cloud services (AWS, GCP, AZURE)
• Experience applying reinforcement learning for solving real-world problems (robotics, finances, etc.).
• Understanding of probabilistic modeling and differential programming, ability to design/build probabilistic simulators
• Contributions to open source projects

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

• Food Manufacturer
• Basic $2500
• 5 days (Office Hours)
• Location: Pandan Loop

Responsibilities (Entry Level):

• Performs day-to-day broad range of HR activities including recruitment from on-boarding to off-boarding, leave administration, payroll, benefit & training administration.
• Handle NSmen make-up claim, paternity, maternity, childcare leave, medical & insurance claims.
• Administer work pass applications, cancellation and renewal.
• Administration of training related matters.
• Maintain accurate HR database and up-to-date employee records.
• Ensure up to date maintenance of all training procedures and records in accordance to ISO requirement and government legislation.
• Generates and maintain regular HR reports as required.
• Perform other ad-hoc projects or duties when required.

Requirements:

• Preferably with Diploma in Human Resource or Business.
• With experience in HR process will be added advantage.
• Open to candidates with no experience as well.
• Well verse in Microsoft office (Words, Excel and PowerPoint)

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

**Only shortlisted candidate would be notified**

EA Reg. No: R1873990 | Lucky Lee Ding Cong