IMPORTANT NOTE: Applicants must have the legal right to work in Vietnam. We are unable to sponsor a work visa for this position.
LOCATION
This post is based in Ho Chi Minh City, Viet Nam.
JOB SUMMARY
Alongside clinical research, micro- and cell-biology we have been expanding our work in omics technologies to better understand disease mechanisms and to bring more precise diagnosis and therapy to patients. We are in collaboration with three hospitals in Vietnam (the Hospital for Tropical Diseases and Pham Ngoc Thach Hospital and National Lung Hospital) and overseas institutions (Universities of Oxford, Cambridge, Washington, California, Harvard, Melbourne, Radboud, Stellenbosch) to conduct clinical and laboratory studies. Multi-omics in infectious diseases is part of a Wellcome-funded, including single-cell genomics, at OUCRU and in collaboration with international organisations. The network will generate population-specific and disease-focused single-cell atlases, build sustainable computational capacity, harmonise analytical standards, and enable cutting-edge infectious disease research in high-burden settings.
We are seeking an outstanding Postdoctoral Computational Biologist with a strong focus on single-cell genomics, multi-omics and immunology to support cutting-edge omics research projects.
The postholder will play a central role in developing, implementing, and harmonising single-cell data analysis pipelines across infectious disease studies, contributing to the construction of population-specific immune cell atlases and infectious disease atlases in multi-country cohorts.
This role combines high-level computational research, methodological development, and capacity building, working closely with wet-lab scientists, clinicians, and computational teams across multiple international sites. The postholder is expected to contribute directly to scientific publications, cross-site analyses, and training activities that strengthen institutional and regional expertise in single-cell data science.
KEY TASKS AND RESPONSIBILITIES
1. Single-Cell Data Analysis and Method Development
- Lead and contribute to the analysis of single-cell RNA-seq data.
- Develop, adapt, and maintain reproducible pipelines for single-cell RNA-seq analysis, including quality control, batch correction, cell annotation, trajectory inference, and differential state analysis.
- Apply advanced computational approaches to study immune responses, host–pathogen interactions, and disease heterogeneity in infectious diseases.
- Contribute to population-specific and infectious disease single-cell atlases aligned with Human Cell Atlas standards.
2. Cross-Site Harmonisation and Collaboration
- Work closely with other computational biologists to harmonise analytical workflows, metadata standards, and reporting practices.
- Participate in cross-programme working groups focused on single-cell analysis, data integration, and best practices.
- Support comparative analyses across populations, sites, and disease contexts.
3. Research Outputs and Scientific Communication
- Write manuscripts for submission to high-impact peer-reviewed journals.
- Contribute to abstracts, reports, and presentations for international conferences, consortium meetings, and funder reviews.
- Communicate complex computational findings clearly to multidisciplinary audiences.
4. Capacity Building and Training
- Support and contribute to bioinformatics and single-cell analysis training activities (development of training materials, workshops, and hands-on courses) within OUCRU.
- Provide mentoring to junior analysts, and laboratory scientists transitioning into data analysis.
5. Data Management and Reproducible Research
- Ensure analyses adhere to best practices inreproducibility, version control, documentation, and data governance.
- Work within high-performance computing (HPC) and secure data environments.
- Contribute to open, reusable analytical frameworks where appropriate, aligned with consortium agreements.
6. Additional duties within the Tuberculosis Group
- Contribute to other TB Group computational biology projects, such as bioinformatics, statistical, and multi-omics data integration analyses as required by project needs.
- Support TB Group projects involving single-cell genomics and multi-omics.
- Assist with data cleaning, data curation, metadata checking, and coordination between clinical, laboratory, and data teams.
- Support the preparation of grant applications, progress reports, manuscripts, presentations, and other scientific outputs when relevant.
- Participate in regular group meetings, project meetings, journal clubs, training activities, and institutional scientific events.
- Undertake other reasonable duties assigned by the line manager or principal investigators, consistent with the postholder's expertise and the overall aims of the role.
SELECTION CRITERIA
Essential
- PhD in computational biology, bioinformatics, systems biology, biostatistics, or a closely related quantitative discipline.
- Demonstrated expertise in single-cell RNA-seq data analysis and multi-omics data intergation methods.
- Proficiency in R, Python, and Bash, with experience in workflow management (Nextflow or Snakemake)
- Proven ability to work with complex, high-dimensional biological datasets.
- Track record of peer-reviewed publications or manuscripts in preparation.
- Excellent written and spoken English and Vietnamese and ability to communicate effectively in multidisciplinary teams.
- Strong organisational skills and ability to work independently while contributing to collaborative projects
Desired
- Experience integrating single-cell data with bulk transcriptomics, proteomics, metabolomics, or clinical data.
- Familiarity with machine learning or AI-based approaches for high-dimensional biological data analysis (advantageous but not essential).
- Experience working with high-performance computing environments or workflow management tools.
- Background in immunology, infectious diseases, or systems biology.
- Experience working in international or multidisciplinary research environments.
- Experience contributing to training, workshops, or capacity-building initiatives
BENEFITS
- Contracted salary grade: $ 2,090 - $ 2,300 gross per month
- Optional insurance: In-patient and out-patient medical coverage; Personal accident insurance coverage
- Two-month 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.
Department
Tuberculosis Group
Hours of work
Full-time
Tenure
Initially for 1 year, including a 2-month probation period, with the possibility of extension. The project lasts for 5 years.
Reporting to
Drs. Le Thanh Hoang Nhat and Nguyen Thuy Thuong Thuong
Vacancy reference
JDHCM-0526-012
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, Cho Quan Ward, HCMC
Email: [Confidential Information]
*** We thank all candidates for their interest but only short-listed applicants will be notified for interview.
Contact person: Ms Nguyen Thi Hong Phuc
Deadline for submission: 15 Jul 2026
