Total 18 Senior Executive science job vacancies in Information Technology category in Singapore

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

We are looking for a passionate and professional Senior Executive Officer to join our Corporate Strategy team.

Based in Singapore and reporting to the Senior Manager, the incumbent will support and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.

However, we also recognize that each individual has a unique blend of skills. Whether your strength is in data analytics or in analytics development, we want to talk to you.

What You’ll Do

• You will engage various divisions to identify the key business requirements for which complex models need to be built.
• You will lead and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.
• You will assist the strategy team in developing the various strategic plans for the company, and implement them where it makes sense.
• You will design and put into production the models developed.
• You will do detailed modeling on the various games and bet types to optimize their performance and enable closing the gap with illegal operators.
• You will support the dissemination of analytics knowledge and sharing of experience within the team and the business users.
• You will identify, undertake and implement analytics projects, including formulation of use cases, gathering of data, development, implementation and maintenance of models.
• You will support the development of SPPL’s in house analytic capabilities through the implementation of structured methodologies and creation of infrastructural capabilities to process and analyze data.
• You will work with strategy to identify opportunities to enable the implementation and realization of the long-term strategic vision of the company.

Who You Are

• You will need at least a postgraduate degree, preferably in data science, statistics, applied mathematics, computer science, machine learning or other data centric disciplines.
• You should have experience with statistical and analytical modeling and knowledge of analytic tools.
• You should be able to work with tools to clean, transform, manipulate, model and visualize large amounts of data.
• Strong programming experience with Python.
  • Familiarity with Python packages commonly used in a Data Science context, e.g., pandas, matplotlib, scikit-learn, PyTorch etc.
  • Proficient in various statistical methods and machine learning techniques, e.g., hypothesis testing, data cleaning, bootstrapping, random forests, clustering, deep learning, etc.
  • Strong visualization and communication skills to interpret and present technical results to technical and non-technical audiences alike.
• Good to have skills:
  • Knowledge of deploying machine learning models on-prem and on AWS or other cloud providers.
  • Experience working with Docker and tools such as docker-compose, Portainer, etc.
  • Knowledge of SQL, PySpark, a deep learning framework (e.g. PyTorch) and/or Django.
  • Basic Unix knowledge.

Benefits

• Competitive salaries
• Flexi Benefits
• Staggered working hours
• Medical Insurance
• Corporate Mobile Plans

Singapore Pools welcomes you not for how you look, where you come from, or differences you may have. We want you here for who you are. Diversity at the company helps us see a greater picture represented by different voices, helping us in contributing back to the society. So, feel free to express who you are, and be proud of your heritage and personal experience as you begin your journey with us!

Singapore Pools was established by the Government on 23 May 1968 to provide safe and trusted betting to counter illegal gambling. As a not-for-profit organisation, all of Singapore Pools’ surplus is channeled to Tote Board to fund a wide range of causes in social service, community development, sports, the arts, education and health. Currently, Singapore Pools contributes about $2 billion annually to the Government in the form of taxes and duties, and for the funding of good causes.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

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

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

​ Our Client is an established company in Singapore, who is seeking to recruit a Senior Data Engineer (Data Science/ Artificial Intelligence).

Senior Data Engineer (Data Science/ Artificial Intelligence)

This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the users to elicit useful business information that enables you to perform your job.

Responsibilities

· Translate data requirements from business users into technical specifications.

· Collaborate with IT teams on technology stack, infrastructure and security alignment.

· Build out data product as part of a data team:

· Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

· Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

· Construct, test, and update useful and reusable data models based on data needs of end users.

· Design and build secure mechanisms for end users and systems to access data in data warehouse.

· Research, propose and develop new technologies and processes to improve data infrastructure.

· Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

· Maintain data catalogue to document data assets, metadata and lineage.

· Implement data quality checks and validation processes to ensure data accuracy and consistency.

· Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

Requirements

· A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

· Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

· Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

· Experience in architecting data and IT systems.

· Experience with orchestration frameworks such as Airflow, Azure Data Factory.

· Experience with distributed data technologies such as Spark, Hadoop.

· Proficiency in programming languages such as Python, Java, or Scala.

· Proficiency in writing SQL for databases\

· Familiarity with building and using CI/CD pipelines.

· Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

· Experience in designing, building, and maintaining batch and real-time data pipelines.

· Experience with Databricks.

· Experience with implementing technical processes to enforce data security, data quality, and data governance.

· Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to [email protected] stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

You will champion the development of new data science techniques, methodologies and delivery of analytics projects from planning through toprototyping, testing, implementation and publication. You will identify and develop core data science components for the delivery of projects, construct dedicated databases and computing environments, and explore and visualise complex data sets to provide business insights. As a key member of the Value Driven Analytics Research (VADAR) initiative, you will provide technical expertise to researchers’ data needs, and/or RFPs and related commercial activities. Your duties include working on data analytics projects that are commissioned by institutions within SingHealth and provide recommendations based on the clinical, operational and financial analysis performed. You will collaborate with various stakeholders and cross-functional teams, especially the value/bundle care, population health, clinical quality and finance offices within the cluster.

For the Senior Analyst position, you will also guide and mentor lower-level team members and are expected to influence key stakeholders, spearheading a data-driven approach to contribute to research breakthroughs.

Other responsibilities include projects as and when assigned.

Requirements:

• Bachelor’s Degree in Finance, Statistics, Mathematics, Computer Science/ Engineering, Business Analytics or other quantitative disciplines with preferably 2 to 5 years of relevant experience
• Advanced theoretical understanding of statistical modelling, machine learning, developing simulation models
• Experience with algorithms and coding proficiency with tools such as R/ Python/ SQL
• Good understanding of MATLAB, SPSS, and STATA
• Meticulous and possesses strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• A team player who is also able to work independently in a fast-paced environment

Senior Data Science Engineer - Network Observability

• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for two consecutive years (2020, 2021).
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.

We are seeking an experienced Senior Data Science Engineer to join our Network Observability team. The role will partner with visualization developers and data engineers to focus on data analytics, providing actionable proactive guidance for sustainment of critical network components such as routers, switches, firewalls, wireless access points, and other core network infrastructure components. The role will be responsible for identifying and mining network metric/trace/log repositories to create custom analytical tools for IT and Business stakeholders.

Act as a senior member of a Network Data Insights team, providing an influential voice to drive strategic guidance to engineering and operations teams globally.

Be an energetic, approachable initiative-taker who is passionate about data and data mining.

Ensure the availability, performance, and security of the organization's network infrastructure through proactive monitoring, analysis, and optimization. Maintain a robust network monitoring system that captures and analyses network traffic, device performance.

As a Data Scientist, proficiency in AI Natural language processing and graphing, statistical analysis, programming, and domain knowledge to extract insights from data. Aspects of the role will be contributing to full-stack development, creating functional and visually appealing websites and applications. Proficient in programming languages, databases, and web server technologies.

Professional Competencies:

• Possess superior interpersonal and communication skills, writing clear and concise proposals and presentations and interfacing with peer, management, stakeholders, and executives.
• Possess desire to build powerful, simple, well-designed applications and services that will provide value to stakeholders.
• Ability to coordinate work tasks with others for timely completion and to avoid potential setbacks.

Qualification and Experience:

• High school diploma or equivalent. Bachelor's degree in computer science, engineering, statistics, or similar data science focus is preferred.
• Familiarity with key components and best practices of Observability.
• Strong engineering or operations experience with the components of a large global network infrastructure such as Routers, switches, LAN/SD-WAN, Firewalls, etc.
• Familiarity with network monitoring, reporting, and observability tools such as: Logic Monitor, Thousand Eyes, Moogsoft, Dynatrace, NetBrain, Elastic.
• Experience with data visualization tools such as Tableau, Power BI, Grafana, Nobl9.
• Strong experience in building actionable dashboards in any of the BI Platforms.
• Experience in writing SQL queries to understand or build dashboards.
• Proficiency in AI Natural language processing and graphing
• Experience with one or more general purpose programming languages such as Java, JavaScript, Python, etc.
• Passionate about data and good data evangelist.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

​ Our Client is an established company in Singapore, who is seeking to recruit a Senior Data Engineer (Data Science/ Artificial Intelligence).

Senior Data Engineer (Data Science/ Artificial Intelligence)

This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the users to elicit useful business information that enables you to perform your job.

Responsibilities

· Translate data requirements from business users into technical specifications.

· Collaborate with IT teams on technology stack, infrastructure and security alignment.

· Build out data product as part of a data team:

· Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

· Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

· Construct, test, and update useful and reusable data models based on data needs of end users.

· Design and build secure mechanisms for end users and systems to access data in data warehouse.

· Research, propose and develop new technologies and processes to improve data infrastructure.

· Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

· Maintain data catalogue to document data assets, metadata and lineage.

· Implement data quality checks and validation processes to ensure data accuracy and consistency.

· Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

Requirements

· A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

· Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

· Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

· Experience in architecting data and IT systems.

· Experience with orchestration frameworks such as Airflow, Azure Data Factory.

· Experience with distributed data technologies such as Spark, Hadoop.

· Proficiency in programming languages such as Python, Java, or Scala.

· Proficiency in writing SQL for databases\

· Familiarity with building and using CI/CD pipelines.

· Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

· Experience in designing, building, and maintaining batch and real-time data pipelines.

· Experience with Databricks.

· Experience with implementing technical processes to enforce data security, data quality, and data governance.

· Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to [email protected] stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

You will be responsible for the development and documentation of novel solutions, solution requirements/architecture and, when needed, define end user proof-of-concept for pilot solutions, usage models and corresponding technologies in test bed or end user environments. You will assist in the development of funding proposals, research publications and formal policy documents. You will engage, manage and drive specific HSR and data analytics projects involving multiple stakeholders within SingHealth as well as academic and/or industry partners and collaborators. You will also work with end users, implementation scientists and ecosystem partners to deploy solutions, collect data and evaluate outcomes in early pilot implementation environments.

Requirements:

• Bachelor in Computer Science, Information Systems, Engineering or any related computational disciplines or equivalent
• At least 3 years of working experience including research experience (health services research preferred) and technical solutions in a relevant data science area.
• Familiarity with healthcare database management systems and processes as well as healthcare data governance policies and regulation would be an advantage
• Ability to construct conceptual, logical, and physical data models across database platforms, i.e., Traditional RDBMS, Big Data (Hive, HBase), Object Store, and file formats
• Knowledge of major programming/scripting language is required (e.g., R/Python, Java, Javascript, Ruby, Julia, PHP).
• Knowledge of interfacing with RESTful APIs, cloud services, GitHub
• Analytical with strong problem-solving skills, and ability to work with incomplete or imperfect data
• Tenacious and driven individual who is forward thinking and a self-motivator that embraces new challenges and is keen to acquire new knowledge

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

Responsibilities:

• Responsible for orders and revenue growth of products in Singapore.
• Develop and maintain good business partnership with all customers.
• Network actively with the scientific community to understand the current and future market trends.
• Build funnels via account planning, mapping and data analysis to provide accurate forecast and sales strategy.
• Develop and execute go-to-market strategy.
• Work with other sales members to ensure offerings of total solutions and presenting to new and existing customers.
• Conduct training and responsible for collateral development, joint customer visits and regular communication.
• Conduct after sales activities by providing technical and software training, method set-up and responding to customers’ queries

Requirements:

• Degree specialized in Chemistry or related scientific disciplines / MBA / PhD.
• 3 to 5 years sales experiences in a related industry.
• Mix of technical field experiences and customer facing roles.

Account Manager:

Kerwin Tan Kai Bin (R1331624)

[email protected]

EA16S8107

As a Senior Consultant in Data Science & Analytics, Financial Services (FS) focus you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our clients’ leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools, and processes.
• Evangelize data science in the region by contributing to training & upskilling.
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership.

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

Job Description

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our client’s leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership
• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership

Qualifications

• 2-3 years’ experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor’s or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Prior experience in model development(Doc Review, Decision Model etc. will be advatageous)
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English fluency.
• Strong plus: Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus: Good understanding of statistical techniques and concepts
• Strong plus: Knowledge of Machine Learning techniques or optimization

Additional information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in SG and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

Job Description

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our client’s leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership
• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership

Qualifications

• 2-3 years’ experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor’s or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Prior experience in model development(Doc Review, Decision Model etc. will be advatageous)
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English fluency.
• Strong plus: Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus: Good understanding of statistical techniques and concepts
• Strong plus: Knowledge of Machine Learning techniques or optimization

Additional information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in SG and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

. JOB PURPOSE

The Senior Laboratory Information System Officer (LISO) role provides technical and administrative information technology support to Laboratory Medicine and Pathology. The Senior Laboratory Information System Officer supports the laboratory management team to implement organisational and departmental policies, and oversee the total test process (pre-analytical, analytical and post-analytical).

MAJOR DUTIES & RESPONSIBILITIES

Specific

i. Have a good operating knowledge of laboratory information system, equipment software, and other software used in laboratory.

ii. Optimise information systems to support laboratory team to meet performance indicators.

iii. Assist in the implementation and maintenance of the laboratory information system (LIS), including test reconciliation from various interfaces.

iv. Provide support to all laboratory sections to meet the expected turn-around-time including technical help during IT breakdown and downtime.

v. Ensure that personnel comply with policies, work instructions and guidelines, and work with Head of Clinical Laboratory and reporting officers on disciplinary measures.

vi. Ensure that all incidents regarding IT system are reported, assist in investigation of incidents, and implement corrective and preventive actions.

vii. Maintain laboratory intranet website, dashboard, and in-house development software or applications in good working condition.

viii. Provide training, competency assessment, and supervision of medical laboratory technologists and medical officers (where applicable).

ix. Write and review documents, including policies, work instructions, bench guides and forms.

x. Identify and trouble-shoot major issues, and make decisions on whether escalation to Head of Clinical Laboratory and Head of Service is required.

General

i. Perform duties in a professional manner, commensurate with academic and technical skills and training.

ii. Adhere to laws, regulations, and hospital procedures and policies.

iii. Uphold the visions and practices of Woodlands Health.

iv. Fulfil continuing medical education requirements.

v. Participate in quality improvement programmes.

vi. Perform any other duties as directed by the Head of Clinical Laboratory.

JOB REQUIREMENTS

Education, training and experience

• Bachelor’s degree in computer science or equivalent
• Minimum of four years of working in a clinical laboratory, including leadership or supervisory positions
• Familiar with SQL scripting, data extraction with Oracle database
• Experience in writing and implementing policies and work instructions
• Experience in Ministry of Health licensing, and CAP, ISO or JCI accreditation processes
• ASCPi certificate is preferred

Interested candidates please send a copy of your resume to [email protected]

Lynn Ho
R23114223

Recruiter's Ref Code: #HHO

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