Job Description

Research Fellow in Bayesian Statistical Modelling for Public Health

Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join our interdisciplinary team. This position offers the opportunity to work on ground breaking research projects in the broad areas of infectious diseases and personalized, integrated care for patients with chronic illnesses and multi-morbidity. In this role, you will employ Bayesian modelling and survival analysis approaches to advance understanding of burden of various infectious and chronic diseases. This work will be jointly shared between Assistant Professor Wenjia Chen and Swapnil Mishra.

Responsibilities:

• Develop Bayesian models of infectious disease transmission and spread at the population level
• Leverage Bayesian inference to estimate model parameters from multiple data sources
• Apply survival analysis methods to cohort studies to uncover risk factors influencing disease prognosis
• Implement cutting-edge statistical techniques like multi-state models and joint longitudinal-survival models
• Interpret complex statistical findings and communicate insights to scientific and public health audiences
• Publish study results in leading peer-reviewed journals
• Collaborate closely with epidemiologists, biostatisticians, and disease experts on research

Requirements:

• Ph.D. in Biostatistics, Statistics or related quantitative discipline
• Expertise in at least one of Bayesian inference, transmission modelling, and survival analysis
• Proficiency in R, Python, Stan, NumPyro, JAGS or related Bayesian software
• Experience analyzing cohort data preferred
• Excellent written and oral communication abilities
• Commitment to transparent and reproducible research practices

Application Process:
Interested applicants should submit the following documents during the job application:

• A cover letter explaining your interest in the position, relevant experience, and research interests.
• A detailed curriculum vitae, 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.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is October 2023, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

In case of any questions or queries, please do not hesitate to contact Asst. Prof Swapnil Mishra at \'swapnil dot mishra at nus dot edu dot sg\' with the subject line \'Research Fellow in Bayesian Statistical Modelling for Public Health.\'

Qualifications

Ph.D. in Biostatistics, Statistics or related quantitative discipline

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 : 21637

Contact list for further enquiries

Hiring Manager: [[Dr Swapnil Mishra]]

Hiring Manager Email: [[swapnil.mishra@nus.edu.sg]]

National University of Singapore