{"id":56214,"date":"2026-06-17T10:25:38","date_gmt":"2026-06-17T03:25:38","guid":{"rendered":"https:\/\/www.oucru.org\/?post_type=career&p=56214"},"modified":"2026-06-17T10:25:44","modified_gmt":"2026-06-17T03:25:44","slug":"postdoctoral-researcher-computational-biology-single-cell-genomics-jdhcm-0526-012","status":"publish","type":"career","link":"https:\/\/www.oucru.org\/id\/career\/postdoctoral-researcher-computational-biology-single-cell-genomics-jdhcm-0526-012\/","title":{"rendered":"Postdoctoral Researcher \u2013 Computational Biology (Single-Cell Genomics) JDHCM-0526-012"},"content":{"rendered":"\n
Position<\/strong><\/strong><\/td>Postdoctoral Researcher \u2013 Computational Biology (Single-Cell Genomics)<\/strong><\/td><\/tr>
Department<\/strong><\/td>Tuberculosis Group<\/td><\/tr>
Location<\/strong><\/strong><\/td>This post is based in OUCRU Ho Chi Minh City.<\/td><\/tr>
Hours of work<\/strong><\/strong><\/td>Full-time<\/td><\/tr>
Tenure<\/strong><\/strong><\/td>Initially for 1 year, including a 2-month probation period, with the possibility of extension. The project lasts for 5 years.<\/td><\/tr>
Reporting to<\/strong><\/td>Drs. Le Thanh Hoang Nhat and Nguyen Thuy Thuong Thuong<\/td><\/tr>
Vacancy reference<\/strong><\/td>JDHCM-0526-012<\/td><\/tr>
Background<\/strong><\/strong><\/td>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 closely collaborates with the National Academy of Medical Sciences in Kathmandu, and OUCRU Indonesia exists in partnership with the University of Indonesia.

As a Wellcome Trust Africa Asia Programme, we have received considerable support from the Wellcome Trust since our establishment in 1991. OUCRU\u2019s 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.\u00a0 All work is intended not only to benefit the patients seen daily at our host hospitals, but also to help improve patient care.

Please see more information on OUCRU website: www.oucru.org<\/a><\/td><\/tr>
Job summary<\/strong><\/strong><\/td>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. \u00a0<\/td><\/tr>
Key responsibilities and tasks<\/strong><\/td>1. Single-Cell Data Analysis and Method Development<\/strong>
– 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\u2013pathogen 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<\/strong>
– Work closely with other computational biologists to harmonise analytical workflows, metadata standards, and reporting practices.<\/strong>
– 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<\/strong>
– 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<\/strong>
– Support and contribute to bioinformatics and single-cell analysis training<\/strong> 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<\/strong>
– Ensure analyses adhere to best practices in reproducibility, version control, documentation, and data governance.<\/strong>
– 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<\/strong>
– 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\u2019s expertise and the overall aims of the role.<\/td><\/tr>
Selection criteria<\/strong><\/strong><\/td>Essential<\/u><\/strong>

– PhD in computational biology, bioinformatics, systems biology, biostatistics<\/strong>, 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<\/strong> and Vietnamese ability to communicate effectively in multidisciplinary teams.
– Strong organisational skills and ability to work independently while contributing to collaborative projects.
\u00a0
Desired<\/u><\/strong>

– Experience integrating single-cell data with bulk transcriptomics, proteomics, metabolomics, or clinical data.
– Familiarity with machine learning or AI-based approaches<\/strong> 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.<\/td><\/tr>
Benefits<\/strong><\/td>– Contracted salary:\u00a0 $ 2,090 – $ 2,300 gross per month
– Optional insurance : In-patient and out-patient medical coverage; Personal accident insurance coverage
– Two months salary for annual bonus and clothes\u00a0
– 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.<\/td><\/tr>
How to apply<\/strong><\/td>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: hr@oucru.org<\/a>
\u00a0
* We thank all applicants for their interest but only short-listed candidates will be contacted for interview.<\/em><\/td><\/tr>
Contact person<\/strong><\/td>Ms Nguyen Thi Hong Phuc<\/td><\/tr>
Deadline for submission<\/strong><\/td>15 July 2026<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

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