Scientist / Senior Scientist (Food Safety Analytics & Epidemiology)

SINGAPORE FOOD AGENCY (SFA); Singapore; On-site; SGD 65,000 - 110,000; Full time

Job summary

The Singapore Food Agency's National Centre for Food Science is seeking a Scientist / Senior Scientist (Food Safety Analytics & Epidemiology) to drive data-driven monitoring and research in food safety. You will design and maintain automated data pipelines, develop analytical models, and collaborate across disciplines to strengthen national surveillance in Singapore.

You will communicate actionable findings to stakeholders, publish results, and support ongoing improvements in food safety

Qualifications

• Bachelor’s or postgraduate degree in data analytics, statistics, biostatistics, epidemiology or related field
• Experience with data analysis and visualization tools (SPSS, Stata, PowerBI, Tableau)
• Ability to manage large datasets, clean data, and ensure data integrity
• Experience in epidemiological study design or statistical analysis for research will be an advantage

Responsibilities

• Build and maintain automated data pipelines for AI-driven food monitoring systems
• Develop and optimize statistical and ML models, incl. time-series, for risk assessment
• Implement analytics techniques and maintain documentation for data pipelines
• Collaborate with multi-disciplinary teams to advance the national food safety monitoring programme
• Communicate findings to diverse stakeholders through reports, publications, and presentations

Skills

Data analytics

Statistics

Biostatistics

Epidemiology

Python

R

PowerBI

Tableau

Communication

Independent work

Education

Bachelor’s or Master/PhD in data analytics, statistics, biostatistics, epidemiology

Tools

SPSS

Stata

Job description

[What the role is]

This recruitment is for the position of Scientist / Senior Scientist (Food Safety Analytics & Epidemiology) in the National Centre for Food Science in the Singapore Food Agency.

[What you will be working on]

Officer will be expected to:

• Build and maintain automated data pipelines for AI-driven food monitoring systems to identify trends, patterns, and potential risks related to prioritized zoonotic diseases
• Develop and optimize statistical and machine learning models, including time-series analytics, to strengthen risk assessment and enable early warning capabilities for foodborne disease threats
• Implement advanced analytics techniques and maintain comprehensive documentation for data pipelines and workflows, continuously refining the system to enhance its effectiveness in analyzing food safety threats
• Work with multi-disciplinary teams to continuously evaluate and enhance the national food safety monitoring programme, maintaining technological advancement in food safety surveillance
• Communicate findings from projects to diverse target audiences through stakeholder engagement, conference presentations, scientific publications, and project reports
• Collaborate with multi-disciplinary teams (both internal departments and external institutions) on projects that collectively contribute to food safety in Singapore
• Perform administrative work such as procurement and preparation of project agreements
• This job description provides a high-level view of the types of work performed. Other job-related duties may be assigned as required

[What we are looking for]

• Bachelor’s or postgraduate degree (Master’s or PhD) in data analytics, statistics, biostatistics, epidemiology or equivalent disciplines, or relevant working experience in a related field (e.g. public health research)
• Strong proficiency with software for data analysis and visualisation (e.g. SPSS, Stata, PowerBI, Tableau). Familiarity with programming languages (e.g. Python or R) will be an advantage
• Able to manage large datasets and databases, perform data cleaning and maintain data integrity
• Prior experience in designing epidemiological studies or applying statistical techniques to support scientific research studies will be an advantage
• Strong analytical skills with the ability to learn and apply new and relevant tools and techniques to process and analyse datasets
• Highly driven and able to take responsibility and initiative for delivering quality work
• Good interpersonal skills, with the ability to work effectively and independently as part of multidisciplinary teams
• Able to manage multiple priorities concurrently and deliver quality work timely in a fast-paced environment
• Excellent written and verbal communication skills
• Detail oriented and possesses strong organisational skills
• A record of high-quality scientific research, demonstrated by publications in peer-reviewed journals, is an advantage

Work Location:

National Centre for Food Science, 7 International Business Park, Singapore 609919