JOB DESCRIPTION:

• Responsible for day-to-day business data management and regular business report preparations, which includes SAP material master maintenance, data integrity checking and statistics.
• Daily monitoring of basic system health and to flag out any inconsistency in API/System functions when found/reported.
• Daily monitoring of system backend jobs and ensure transactional data are interfacing in healthy state with external/internal system.
• To support Business Analytics, extracting and reorganizing original data, dealing with data related issues with other departments.
• Responsible for data preparation, data mining, to create/identify opportunities through analytics, to optimize business objectives.
• Communicate findings and insights to relevant stakeholders in order to assist Manager in making data-driven decisions in KPI assessments.
• Drive continuous improvements /optimization of campaign performance tracking report with business while complying to A*STAR policies.

REQUIREMENTS:

• Bachelor's Degree or Diploma (with at least 5 years or more relevant experience), preferably Business Analytics, Information systems or Computer Science.
• Strong analytical skills, with experience solving problems using data and providing practical business insights.
• Self-Starter with a strong sense of urgency.
• Aptitude to challenge the status quo, think outside the box, and question what has been done.
• Comfortable with dealing with sets of data points from different sources.
• Qualities of matured thinking, dependable and requires minimum supervision.
• Excellent communication skills (oral and written).

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

• Maintenance of PLC and control systems
• Continuous performance monitoring and ensuring highest uptime
• Project coordination for new improvement and automation activities
• Troubleshooting of system abnormalities and provide technical solution
• Initiate continuous improvement projects
• Manage external contractor and vendors and maintaining safety standards

Requirements

• Degree in Electrical / control Engineering or related fields with min 5 years experience
• Experience in Siemens, Mitsubishi PLC systems
• Experience in ELV systems like fire alarm, public address, etc
• Able to work with field instruments
• Knowledge of Electrical systems will be an added advantage

Responsibilities

• Conducting daily AML assessments and approval of KYC reviews for new and existing customers, at normal and enhanced due diligence level in line with AML policies and HO memoranda.
• Reviewer and Approver for updates to Customer Info in KYC System
• Interpreting and analysing KYC data to accurately risk access new and existing clients, making sound judgement calls in terms of escalation and risk mitigation.
• Conducting daily AML assessments of screening alerts in line with AML policies and HO memoranda, and to advice Front Office on issues in these reviews or transactions.
• Function as a subject matter expert on AML related issues, providing guidance to others where required, providing advice on customer due diligence that is risk based and proportionate, in accordance with regulatory guidance.
• Embed and improve the client screening process and adapt it to new technology as required.
• Liaise with Front Office and Legal & Compliance departments for AML related issues.
• Participation in ad hoc and project work as required.
• Conduct study meeting to other sections on AML related matters.
• Any other assignments from Dept/Group Head.

Requirements

• At least Bachelor’s degree
• At least 3 years of experience in KYC Periodic Review for Corporate customers
• Able to link diverse information to build a full picture and spot inconsistencies
• Good knowledge of MAS regulation on AML and Sanctions requirements including KYC, Screening
• Good team player within the department and organization
• Good communications skills, hands on, independent and proactive in carrying out investigation on customers and/or transactions.
• Able to work with front office and back office

b Description

As a Quality Engineer, you will be part of an in-house team with the opportunity to accelerate the delivery and improve quality of the software we build.

You’ll get to:

• Build advanced automated test suites to exercise our world-class applications
• Conduct load and performance tests to identify system bottleneck
• Conduct research on emerging technologies
• Analyse and decompose complex software systems to craft various test strategies
• Collaborate with Product Owners and stakeholders for User Acceptance Testing (UAT) with manual/functional/performance/exploratory testing
• Conduct application performance and security testing to ensure we have a robust and secured system in place
• Maintain and improve automated regression test suite in testing environments
• Actively refine and improve test plans on the CI pipeline
• Perform system integration testing with other system owners
• Manage defect life cycle
• Drive continuous improvement in Agile testing practices and tools
• Perform peer code review to ensure code quality is upheld
• Involve in supporting and resolving production issues

What you’ll bring to the team:

• Minimum 2 years of professional software quality testing experience in application regression test automation, performance and or security testing
• Strong understanding of test-driven development (TDD), continuous integration and continuous delivery Experience with coding in any of the following programming languages (Java, JavaScript, Python)
• Experience with various testing tools and automated testing frameworks (Robot, Selenium, Cypress, Cucumber) Meticulous attention to details
• Excellent verbal communication with non-technical stakeholders
• Proactive, self-driven and motivated

Bonus points for:

• Degree in software engineering, computer engineering, electrical engineering or info-comm related discipline
• Experience in an Agile development environment
• Experience with automated testing frameworks (i.e. Robot, Selenium, Cypress)
• Experience with performance testing tools (JMeter, Gatling, Locust, HP LoadRunner)
• Experience with penetration testing tools (ZAP, Burp Suite, SQL Map, HP WebInspect)
• Experience with CI and deployment builds (Bamboo, Gitlab, Jenkins, TeamCity)
• Experience with Docker containers
• Experience with AWS services (Glue, Lambda, DynamoDB, MSK

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 job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

Quality and Supply Chain Manager

Job Description

Nuevocor is a pre-clinical stage biopharmaceutical company dedicated to developing genetic medicines to treat the underlying cause of genetic cardiomyopathies. Backed by an international syndicate of reputable venture capital firms, it will focus on advancing its pipeline of programs to clinical trials. It will also leverage its platform technology, underpinned by a deep understanding of cardiac mechanobiology, to discover and develop therapies for multiple cardiomyopathies.

Nuevocor’s Singapore site is seeking to hire a Quality Manager to join our Tech Ops department to support advancing our therapeutic candidates forward. Reporting to the Head of Tech Ops, you will play a key role in setting up, managing and maintaining our Quality Management System and processes in compliance with relevant standards and regulatory requirements. You will be part of a dynamic and fast-paced biotech working environment.

Responsibilities

· Implement, manage and maintain a compliant GxP Quality Management System, encompassing the aspects of Quality Risk Management, CAPA, Deviations, Change Control, Quality Documentation.

· Conduct internal and external audits, including at sub-contractor facilities and processes.

· Provide on-site support at CDMOs for manufacturing production.

· Manage supply chain of materials across sites of CDMOs, CROs and clinical trial sites.

· Prepare Quality documentation and agreements.

· Review GxP protocols, reports and Standard Operating Procedures to ensure compliance.

· Develop and deploy the GxP quality assurance strategy as approved by senior management.

· Reports all critical and relevant quality and compliance issues to management.

· Ensures quality assurance expertise is available and effective for GxP operations.

· Provide Quality Assurance review and disposition of GxP products, as appropriate.

· Acting as a point of contact with regulatory authorities.

· Support the development and harmonization of quality standards and processes.

· Maintain good relationships with regulatory agencies.

· Ensure that all personnel training, investigations, actions, CAPAs are completed on time.

· Assists in the development and maintenance of training program.

· Lead and assist in the development of SOP and procedures to support GxP functions.

Requirements

· Scientific degree in Pharmaceutical Sciences or related fields.

· 5-10 years experience in GxP particularly GCP and GMP areas and other regulations applicable in the Pharmaceutical Industry.

· Experience with supply chain and shipping, preferably with biologics materials.

· Knowledge of drug development regulations and implementing GxP in Gene Therapies

· Actively able to manage multiple projects to meet timelines, while maintaining compliance.

· Ability to work in teams with diverse cultural and professional backgrounds

· High standards in documentation and record keeping.

· Strong interpersonal and organizational skills

· Strong collaboration and team working skills

· Excellent writing and verbal communication skills

· Excellent problem solving ability

· Ability to multitask

· Possess a mindset of no job too big or too small

Nuevocor is an equal opportunity and equal benefits employer. All qualified applicants will receive consideration for employment. Position is commensurate with experience.

Interested candidates, please submit a CV and cover letter to tinyurl.com/nuevocorcareer

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 Research Assistant will work closely with the Principal Investigator on several research projects on using machine learning in chemical and control engineering problems
• The Research Assistant will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• A Bachelor degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus