Principal Analyst/Senior Analyst (Informatics Branch)
NEA-BIOPOLIS HELIOS, Singapore
The Singapore Public Service
You will work in Environmental Health Institute, and be a member in the Environmental Epidemiology & Toxicology Division.
[What you will be working on]
You will design and conduct research at the intersection of computational methods and environmental public health. Key areas of focus include developing computational tools to forecast risk of infectious diseases, especially vector borne diseases, formulating mathematical, statistical, and machine learning models to understand epidemiology and disease ecology, assessing the impact of environmental changes, such as climate change, and evaluating cost-effectiveness of public health interventions.
Your work will enhance our understanding of environmental epidemiology, guide the development of public health interventions, and inform operations, resource planning, and policy. As a member of the EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management, and communication.
[What we are looking for]
Requirements:
- Minimum Bachelor’s Level Degree in a quantitative discipline, e.g. statistics, applied mathematics, computational biology, ecology and evolution, or data science.
- Attainment of a record of high-quality scientific research, demonstrated by publications in peer-reviewed scientific journals, will be an advantage.
- Excellent knowledge of study design, statistical and mathematical modelling, and data visualisation principles.
- Proficiency in scientific coding and use of statistical software, e.g. R, or Python.
- High capacity for systems thinking and creativity, and inclination for trans-disciplinary science.
- Excellent organisational, analytical, interpersonal, and communications (written and oral) skills.
- Ability to work in a fast-paced environment and to manage multiple priorities concurrently
- Self-driven and open to development opportunities
Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Machine Learning Mathematics ML models Python R Research Statistics
Perks/benefits: Career development
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