Research Assistant (Software Developer, JD-0522-026)



Research Assistant (Software Developer)


Mathematical Modelling Group


This post is based in OUCRU Ho Chi Minh City.

Hours of work



This is a 1 year contracted position with possibility of extension

Reporting to

Dr. Thinh Ong

Vacancy reference



The Oxford University Clinical Research Unit (OUCRU) is a large-scale clinical and public health research unit, with sites offices in Ho Chi Minh City and Hanoi in Vietnam, Jakarta in Indonesia and Kathmandu in Nepal. In Vietnam, we are hosted by the Hospital of Tropical Diseases (HTD) in Ho Chi Minh City, and the National Hospital for Tropical Diseases (NHTD) in Hanoi. OUCRU-Nepal is hosted by the Patan Academy of Health Sciences, and in Indonesia we exist in partnership with the Eijkman Institute as the Eijkman-Oxford Clinical Research Programme (EOCRU). As a Wellcome Africa Asia Programme, we have received considerable support from Wellcome since our establishment in 1991.

OUCRU’s vision is to have local, regional and global impact on health by leading a locally driven research programme on infectious diseases in Southeast Asia. Priority is given to health issues important to the hospitals where we work, and to the countries as a whole where we operate: Vietnam, Indonesia and Nepal. All work is intended not only to benefit the patients seen daily at our host hospitals, but also to help improve patient care throughout Southeast Asia.

OUCRU employs approximately 320 people across Viet Nam and has an average annual budget of USD 12mil.

Please see more information on the OUCRU Website:

Job summary

The Mathematical Modelling Group is dedicated to the study of the transmission of infectious diseases in populations, developing and using mathematical and computational models. We use machine learning approaches in order to forecast the timing, intensity and duration of future epidemics. Mathematical models are developed and fitted to surveillance data in order to test hypotheses about mechanisms and drivers of transmission, and also to explore intervention strategies (in silico experiments) and look for optimal policies (optimal control theory). Our activities also involve theoretical and methodological developments. The research program is headed by Dr Marc Choisy and includes projects on influenza, dengue, measles (and other vaccine-preventable diseases), as well as COVID-19. The team has members of various backgrounds in biology, mathematics and computer science.

The job will focus on developing an R package providing statistical and mathematical methods of modelling infectious disease transmission using Big Data including serological surveillance data and social contact data (e.g. Facebook or Google mobility data). The package will be published on CRAN repository ( and the research assistant will also be responsible for writing documentation, doing maintenance and performance benchmarking. Package performance will potentially be improved with C++ code. The research assistant will have the opportunity to develop his/her own research questions later and evolve his/her position

Key responsibilities and tasks

  • Develop software in R and/or C++ language
  • Write documentation, benchmark and optimise algorithms
  • Publish and maintain R packages on CRAN
  • Assist students and researchers in debugging and optimising their code

Selection criteria


  • Bachelor’s degree in computer science, software engineering or a closely related discipline that involves programming or equivalent practical experience
  • Experience in programming
  • Fluent English



  • Experience with writing and publishing R packages
  • Knowledge in R
  • Knowledge in C++
  • Knowledge in git and Github


–    Contracted salary: Negotiate (depending on actual experience and education).

–    Optional insurance : In-patient and out-patient medical coverage; Personal accident insurance coverage

–    Two months salary for annual bonus and clothes

–    Annual leave 18 days/year for the first year, a maximum of 30 days

–    Other responsibilities and benefits are based on Viet Nam Labor Law

How to apply

Interested qualified candidates are invited to send their detailed resume and cover letter in English, including copies of relevant degrees, certificates, either by email or by post to the following address:

Oxford University Clinical Research Unit

Laboratory of Clinical Science

Hospital for Tropical Diseases

764 Vo Van Kiet, Ward 1, District 5, HCMC

Tel: 39237954



* We thanks all applicants for their interests but only short-listed candidates will be contacted for interview.

Contact person

Ms. Nguyen Thi Hong Phuc

Deadline for submission

16th June 2022