Research Fellow (Bayesian Inference & Genomic Epidemiology)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified
Phd in statistics or computational epidemiology
Probabilistic programming with stan or pymc
Proficiency in python and r coding
The National University of Singapore (NUS) is seeking a Research Fellow in Bayesian Inference and Genomic Epidemiology to join the Centre for Epidemic Response & Modelling (CERM). The role involves developing advanced statistical models and integrating genomic and epidemiological data, with a focus on regional arbovirus surveillance

Job Summary

  • The role involves developing Bayesian semi-mechanistic renewal equation models to estimate genotype-specific reproduction numbers.
  • Candidates will build scalable inference pipelines that integrate genomic data with epidemiological surveillance streams.
  • The position offers career development support including conference travel, training workshops, and mentorship from senior researchers.

Matching Summary

Match Score: 85

The National University of Singapore (NUS) is seeking a Research Fellow in Bayesian Inference and Genomic Epidemiology to join the Centre for Epidemic Response & Modelling (CERM). The role involves developing advanced statistical models and integrating genomic and epidemiological data, with a focus on regional arbovirus surveillance.

Skills & Requirements

Must-have

  • PhD in statistics or computational epidemiology
  • Probabilistic programming with Stan or PyMC
  • Proficiency in Python and R coding
  • Experience with phylodynamic methods like BEAST
  • Track record of peer-reviewed publications

Nice-to-have

  • Experience with JAX or autodiff frameworks
  • Familiarity with deep generative modelling approaches
  • Collaboration in multi-institutional research settings
  • Knowledge of lineage classification frameworks
  • Ability to co-supervise research staff

Key Requirements

  • PhD degree required
  • Strong quantitative and coding skills
  • Publication track record required

Work Rights

Not specified

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