Total 4 Science / R&D / Research job vacancies in Changi

Job Summary

Lead and execute comprehensive Commissioning and Qualification (CQ) protocols by planning design criteria, managing technical documentation, conducting dry runs, training teams, and compiling final reports to ensure compliance and operational readiness.

Responsibilities

• Plan and develop design criteria for commissioning and qualification projects.
• Review and manage contractor submittals and technical documentation including as-built drawings, HEPA locations, utility drawings, instrument calibration certificates, and materials of construction and workmanship certificates.
• Draft CQ Protocols and conduct dry runs to validate procedures.
• Modify and amend CQ Protocols based on dry run outcomes to ensure accuracy and compliance.
• Obtain approval for CQ Protocols from relevant stakeholders.
• Execute CQ Protocols by training personnel on procedures and conducting test cases.
• Compile and maintain comprehensive documentation including drawings, cleanroom testing reports, EHS verifications, door interlock and access control records.
• Prepare and manage draft and approval processes for interim releases when applicable.
• Convert contractor drawings to Edwards format and create drawings in the Winchill System for documentation consistency.
• Induct assets into Maximo system for preventive maintenance and calibration tracking.
• Complete all required documentation for final approval of CQ projects.
• Draft and submit final CQ reports and secure necessary approvals.

Position Summary :

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring. This role holds a blend of team and project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations.  He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS (both production and repair activities) more sustainable and competitive through innovation and collaboration to achieve industrial excellence. 

Main Tasks  & Responsibilities:

• Team and data science portfolio management: Responsible for the Roadmap of the data science and manage data science ROI and Portfolio, develop requirements and ensure value and benefit the shopfloor operation, guide data science engineers to develop and review their work as well to grow their skills and experience.

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.

• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, gathering requirement, operational challenges, and opportunities for leveraging data science to drive value.

• Technical capability on Data Science: Work and guide data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and application and modeling, Mentor and develop data science and data engineering team members, fostering technical excellence, knowledge sharing, and continuous learning within the team.

• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.

• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.

• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.

• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.

• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.

• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.

• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.

• Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI

• Data Governance and Data Strategy: Define and enforce data governance standards, including data quality, data lineage, metadata management, and security. Establish data strategies that ensure reliable, scalable, and trusted data pipelines to support industrial analytics and AI initiatives.

• AI/ML Lifecycle Management (MLOps):Implement and manage the end-to-end machine learning lifecycle including experimentation, versioning, CI/CD pipelines, automated model retraining, monitoring for model drift, and continuous improvement.

• Change Management and AI Adoption: Drive adoption of data science solutions by collaborating with operational teams, ensuring that developed models and insights are embedded into decision-making processes and shopfloor operations.

Candidate Profile & Qualifications:

• Bachelor's degree in computer science, data science, industrial engineering, or a related field; advanced degree or relevant certifications preferred.

• At least 8 years proven experience in project management, specifically in leading data science or analytics projects in industrial settings.

• Experience managing small team and data science portfolio

• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus

• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.

• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.

• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.

• Proficiency in project management methodologies and tools

• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.

• Familiarity with data governance, privacy, and security best practices in industrial environments.

• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus

• Experience with architecting, IS/IT projects or vendors management is a plus

• Strong disposition toward continuous learning, self-starter and passionate on data science to create business value

• Good attitude, open mind and flexibility to adjust and promote change for continuous improvement

Job Summary

Lead and execute comprehensive Commissioning and Qualification (CQ) protocols by planning design criteria, managing technical documentation, conducting dry runs, training teams, and compiling final reports to ensure compliance and operational readiness.

Responsibilities

• Plan and develop design criteria for commissioning and qualification projects.
• Review and manage contractor submittals and technical documentation including as-built drawings, HEPA locations, utility drawings, instrument calibration certificates, and materials of construction and workmanship certificates.
• Draft CQ Protocols and conduct dry runs to validate procedures.
• Modify and amend CQ Protocols based on dry run outcomes to ensure accuracy and compliance.
• Obtain approval for CQ Protocols from relevant stakeholders.
• Execute CQ Protocols by training personnel on procedures and conducting test cases.
• Compile and maintain comprehensive documentation including drawings, cleanroom testing reports, EHS verifications, door interlock and access control records.
• Prepare and manage draft and approval processes for interim releases when applicable.
• Convert contractor drawings to Edwards format and create drawings in the Winchill System for documentation consistency.
• Induct assets into Maximo system for preventive maintenance and calibration tracking.
• Complete all required documentation for final approval of CQ projects.
• Draft and submit final CQ reports and secure necessary approvals.

We are currently seeking Medical Technologists I/II to join our diverse and dynamic team. As a Medical Technologist at ICON, you will be responsible for performing a variety of laboratory tests and analyses to support clinical research initiatives, ensuring that accurate and reliable data is generated to facilitate the development of innovative therapies. Your expertise and attention to detail will be essential in upholding the highest standards of laboratory practice and compliance.

• Work location: Loyang office-based (30 Loyang way, Unit 02/12-15, Singapore 508769)
• Working hour: 11:00 a.m. to 8:00 p.m. Tuesday to Saturday
• Public holiday rotational shift depends on team roaster. Public holiday rotational shit will be compensated as per Ministry of Manpower rules and regulations for any Public Holiday duties

What You Will Be Doing:

• Conducting laboratory tests and analyses in accordance with established protocols, regulatory guidelines, and Good Laboratory Practice (GLP).
• Preparing and processing biological samples while maintaining proper documentation and quality control measures.
• Assisting in the calibration and maintenance of laboratory equipment to ensure optimal performance and accuracy.
• Collaborating with cross-functional teams to address any laboratory-related issues and support clinical trial operations.
• Staying current on laboratory techniques and advancements to enhance the efficiency and effectiveness of laboratory practices.

Your Profile of Medical Technologist II:

• Singapore Citizen or Permanent Resident (PR) holder
• Bachelor’s degree in Medical Technology, Medical Laboratory Science, or Biomedical Science, with a focus in Chemistry, Hematology, Immunology, and/or Infectious Diseases
• Experience in a clinical laboratory setting or relevant internship
• Proven experience successfully performing as a Technologist or a significant proven experience supporting development activities.
• Preferred: Previous experience in Flow Cytometry and Microbiology

• Your Profile of Medical Technologist I:
• Singapore Citizen or Permanent Resident (PR) holder
• Bachelor’s degree in Medical Technology, Medical Laboratory Science, or Biomedical Science, with a focus in Chemistry, Hematology, Immunology, and/or Infectious Diseases

Preferred: Experience in a clinical laboratory setting or relevant internship