Scientist/Senior Scientist - Biorisk and Biosurveillance (Contract)
- Singapore
- Permanent
- Full-time
- Design, enhance and implement biosurveillance programmes for animal and zoonotic diseases, including developing information management systems for long term data collection.
- Develop an integrated analytics and modelling pipeline for animal health data, incorporating artificial intelligence and machine learning techniques, integrating multiple data streams.
- Process and analyse complex data from multiple sources, including sensor data, electronic veterinary records, and biosurveillance reports.
- Conduct advanced spatial analyses, including animal contact and movement network analyses, value chain evaluation, and risk mapping.
- Perform disease transmission dynamics studies, outbreak forecasting, and risk factor analysis using advanced data algorithms.
- Create and implement operational technologies or programmes to improve community-based participatory surveillance.
- Provide responsive and timely data management and analytics support during outbreak management.
- Prepare and present analytical findings and recommendations to both technical and non-technical stakeholders.
- Manage and guide research collaborations on biosurveillance
- Management of projects which includes managing resources (e.g. contract with third-party services) and coordinating planning and implementation of new programmes to ensure all project deliverables are met
- Oversee administrative tasks crucial to the branch's daily operations, including procurement and project logistics
- Post-graduate degree in Data Science, Computer Science, Epidemiology, Biostatistics, Veterinary Science, Biological Sciences, Public Health or a closely related field.
- Working or research experience applying advanced data analytics and predictive modelling in public health or related fields.
- Demonstrated expertise in AI and machine learning applications for health-related data analysis.
- Proficiency in programming languages such as Python, R and other statistical software for data analysis and modelling.
- Experience with big data technologies and cloud computing platforms.
- Strong background in statistical analysis and machine learning algorithms.
- Familiarity with GIS and spatial analysis tools.
- Understanding of epidemiology, animal health, or related biological sciences is highly desirable.
- Experience in public health surveillance systems or animal health monitoring is a plus.
- Excellent project management and leadership abilities.
- Strong communication skills to convey complex analytical findings to diverse audiences.
- Stakeholder engagement and communications, and ability to foster and maintain strong relationships with stakeholders.
- Ability to work collaboratively in interdisciplinary teams.
- Creative problem-solving skills and innovative thinking.
- Adaptability and willingness to learn in a dynamic environment.
Appointment will be on contract basis.