Scientist / Senior Scientist (Food Safety Analytics & Epidemiology)

About the role

The National Centre for Food Science (NCFS), the scientific arm of the Singapore Food Agency, is hiring a Scientist or Senior Scientist for its Exposure & Data Science Branch. The branch carries out qualitative and quantitative research to inform food safety risk assessment, risk management and risk communication.

Key responsibilities

• Plan, execute and manage research estimating the health and economic burden of foodborne hazards, using epidemiological and health economic models to quantify disease incidence, health impacts (DALYs, QALYs) and economic costs.
• Design and run population-based surveys and analyse epidemiological and surveillance data to estimate community disease incidence, healthcare-seeking behaviour and case under-ascertainment.
• Develop approaches to estimate the proportion of disease attributable to foodborne transmission, including structured expert elicitation and source attribution methods.
• Manage, analyse and integrate epidemiological and surveillance datasets, applying statistical and mathematical modelling, including sensitivity and uncertainty analyses.
• Analyse associations between risk factors and food safety outcomes to inform policy and interventions.
• Collaborate with internal and external teams, communicate findings through publications, conferences and reports, and support project administration such as procurement and research proposals.

Required profile

• Degree in epidemiology, public health, biostatistics, statistics, health economics or another relevant quantitative discipline.
• Experience in quantitative research, statistical analysis, epidemiological modelling or health economic evaluation.
• Preferred: postgraduate degree (Master's or PhD), experience in burden-of-disease modelling, health economic modelling, population-based surveys, source attribution or structured expert elicitation, familiarity with foodborne disease attribution, prior research in food safety, environmental health or public health, and a track record of peer-reviewed publications.

Required skills

• Proficiency in at least one statistical programming language such as R or Python.
• Strong analytical and problem-solving skills, good written and verbal communication, and project management skills.