Scientific Manager (Environmental Quality Monitoring Department)

[What the role is]

The Environmental Monitoring & Modelling Division (EMMD) implements a comprehensive air and water quality monitoring programme to ensure effective monitoring of the air and water quality. In EMMD, you will be part of the Environmental Quality Monitoring Department (EQMD) assisting in the management of the water quality monitoring programme in EQMD.

[What you will be working on]

You will be part of a dedicated team managing environmental analytical services and data systems that underpin critical decision-making. In this role, you will:

• Manage and administer contracts for provision of laboratory analytical services and environmental sampling.
• Endorse and process request forms for laboratory services, including planning for additional sampling where required.
• Review and certify contractors’ monthly reports on works performed and verifies invoices
• Provide inputs and assessment on water quality data during investigation of water pollution incidents by ensuring timely and accurate water quality results.
• Assist in the updating of the water quality database, including verifying results and ensuring timely data entry.
• Assist in the preparation of procurement documents for laboratory services contracts
• Provide support in internal and external audit checks where necessary.
• Contribute to ad-hoc assignments and administrative tasks as needed.

[What we are looking for]

The job might be for you if:

• At least 2 years of relevant experience in laboratory or environmental sciences
• Knowledge of government finance and procurement processes and systems (e.g. GeBIZ) will be an advantage
• Good interpersonal and communication skills to work with internal and external stakeholders
• Strong organisational skills with the ability to multi-task in a fast-paced environment
• Ability to work independently and as part of a team, with attention to detail and strong problem-solving skills
• Proficiency in Microsoft Office applications; familiarity with data analytics, Robotic Process Automation (RPA), or artificial intelligence will be an added advantage
• Self-driven, resourceful, and able to deliver results under pressure within tight timelines

You will be working in a fast-paced and highly volatile environment that would require the ability to manage multiple priorities and stakeholders at the same time.