Research Fellow in Infectious Disease Modelling for Dengue

6 hours ago

Queenstown, Singapore NUS Saw Swee Hock School of Public Health Full time

Job Description

**Job Title**:Research Fellow (Infectious Disease Modelling)

**Posting Start Date**:29/07/2025

Job Title: Research Fellow in Infectious Disease Modelling for Dengue & Zika Genomic Epidemiology and Surveillance

About the Role:

- Collaborating Team
- Environmental Health Institute (EHI), National Environmental Agency (NEA), Singapore: Prof. Ng Lee Ching, Dr. Tan Cheong Huat, Dr. Judith Wong, and Dr. Chanditha Hapuarachchi.
- Pathogen Genomic Epidemiology Unit, MRC Global Infectious Disease Analysis, Imperial College London (ICL): Prof. Nuno R. Faria, Dr. Oliver Ratmann, Dr. Charlie Whittaker, and Dr. Kris Parag.
- Saw Swee Hock School of Public Health, National University Singapore (NUS): Dr. Swapnil Mishra.
- UNITEdDengue Partners
- Key Responsibilities:

- Develop mathematical and statistical virus evolution models to:
a. Identify virus lineages with high epidemic potential
b. Track changes in adaptation and immune escape properties of viruses against vector control strategies like Wolbachia
- Develop real-time dashboards to track and share cross-border genomic and epidemiological data.
- Collaborate with the multidisciplinary team (EHI, ICL, NUS) of researchers, including epidemiologists, biologists, machine learners, biostatisticians, and public health experts.
- Analyse large-scale datasets to generate insights into the transmission dynamics, evolution, and control of arboviral diseases.
- Present research findings at national and international conferences and publish results in peer-reviewed scientific journals.
- Assist in the supervision and mentoring of graduate students and junior researchers.
- Contribute to grant proposals and progress reports for funding agencies.

Interested applicants should submit the following documents
- A cover letter explaining your interest in the position, relevant experience, and research interests.
- A detailed CV, including a list of publications.
- A brief research statement (maximum 2 pages) outlining your research experience and future plans.
- Contact information for three professional references who can provide letters of recommendation upon request.

**Qualifications**
- A Ph.D. in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline.
- Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in computational statistics or machine learning is optional but highly relevant)
- Proficiency in programming languages (R, Python, C++, Java or Julia).
- Experience with mathematical and statistical methods applied to real-world, public health, and global health problems.
- Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences.
- Demonstrated ability to work effectively in a multidisciplinary team and independently.
- Track record of publications in peer-reviewed journals

**More Information**

Location: Kent Ridge Campus

Organization: Saw Swee Hock School of Public Health

Department : Saw Swee Hock School of Public Health

Employee Referral Eligible: No

Job requisition ID : 29829

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