Research Fellow (Post-doctoral), Emerging Infectious Diseases

Job Description

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Post-Doctoral Fellow to work as a Bioinformatics Programmer/Analyst with a strong background in Data Science and/or Evolutionary Biology. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronavirus. The position is primarily to develop and implement Bayesian phylogenetics framework for modelling virus activity, evolutionary processes and transmission. The candidate is expected to play a critical role in conducting bioinformatic and biostatistical analyses to generate high-quality research data, performing a variety of research activities under the supervision of the Principal Investigator or his/her designate. 

The main duties and responsibilities will include but are not limited to the following: -

• Develop and improve Bayesian phylogenetics modeling, spatio-temporal epidemiological modeling or associated tools for studying infectious diseases
• Test and implement new models/tools for evolutionary reconstruction, coalescent-based population genetics, phylogeography, reassortment rates and related analyses. 
• Develop computational scripts and/or pipelines for data analyses.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Prepare data for manuscripts, progress reports and grant applications.
• Demonstrate and present research output.
• Perform other related duties incidental to the project theme.

Job Requirements

• PhD in Bioinformatics, Biostatistics, Machine learning or other related disciplines.
• Prior experience in designing/developing Bayesian statistics and models is preferred.
• Possess strong knowledge in Linux/Unix operating systems and high-performance computing clusters
• In-depth knowledge of Bash, Perl and Python scripting is required
• Have experience designing and implementing platform packages for evolutionary software such as BEAST. 
• Possess excellent quantitative, analytical and organisation skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.