- Group: SPHERES
- Location: Jakarta
- Hours of Work: 1.0 FTE
- Tenure: 3 months (renewable)
- Reporting to: Principle Investigator, Scientific & Technical Lead
- Vacancy Reference: SPHERES – IT Lead – Jakarta
Background
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’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.
Please see more information on OUCRU website: www.oucru.org
Summary:
We are looking for an IT – Lead to design and lead automation-driven digital systems for a large-scale public health program. The core of this role is to lead building reliable automation, data converters, and interoperable pipelines that connect field data, routine health systems, and program dashboards.
This role sits at the intersection of technology, data, and field operations, ensuring that digital systems actually work for health workers and decision-makers. If you enjoy building practical systems that improve real-world health outcomes, this role is for you. This position will also involve implementing AI-powered solutions including optical character recognition (OCR), machine learning models, and large language model applications to enhance data extraction, analysis, and decision support capabilities.
Qualifications:
- Educational background: Bachelor’s or master’s in computer science, Information Systems, Engineering, or related field.
- Digital systems & data engineering: Strong experience with web-based systems, databases, cloud services, and SQL. Experience with data collection platforms (e.g. ODK, KoBo, CommCare, REDCap).
- Health data & interoperability: Familiarity with HL7 FHIR and experience implementing digital or AI solutions in healthcare or public health settings.
- AI & machine learning: Knowledge of machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch), data preprocessing techniques, OCR and document processing, and LLM-based solutions including RAG and semantic search using vector databases.
- Privacy & MLOps: Understanding privacy-preserving approaches for sensitive health data and experience with MLOps practices for deployment, monitoring, and maintenance.
- Problem-solving & collaboration: Strong analytical skills, ability to translate public health needs into technical solutions, and experience working independently and with multidisciplinary teams.
- Communication: Excellent communication skills and professional proficiency in English
- Minimum 8 years of professional experience in Information Technology, with at least 3-5 years of experience leading IT teams and/or technology projects.
Key Requirements:
Automation & System Building
- Design and implement automation workflows to reduce manual reporting and data handling
- Build data converters and transformers to:
- Standardize data formats
- Convert field data into analysis- and dashboard-ready datasets
- Bridge incompatible systems
- Automate routine data cleaning, validation, and aggregation
- Develop scripts/services for:
- Scheduled data syncs
- Automated reporting
- Quality checks and alerts
Data & Integration
- Lead integration between:
- Data collection tools (ODK, KoBo, CommCare, REDCap, etc.)
- Dashboards (Tableau, Power BI, Superset, custom tools)
- Existing health or program databases
- SATUSEHAT compliance and integration
- Federated FHIR ecosystems
- Ensure data integrity, version control, and traceability
- Support interoperability with government or partner systems where required
Program & Team Support
- Translate public health workflow needs into scalable technical solutions
- Oversee IT staff or vendors implementing automation and system updates
- Develop clear technical documentation, SOPs, and user guides
- Provide technical leadership during system incidents or scale-up phases
- Lead and supervise AI & Machine Learning Implementation
Benefits
- Remuneration package including annual leave, sick leave, THR, BPJS Kesehatan, and BPJS Ketenagakerjaan.
- Other responsibilities and benefits are based on Indonesia Labor Law.
How to Apply
Please submit the following documents by email to recruitment.id@oucru.org:
- Cover letter
- Curriculum vitae
- Names and contact details of a minimum of two professional referees
- Salary expectations
Email Subject: Please quote the reference “SPHERES – IT LEAD – Jakarta – Your name”
Deadline for submission: 26 June 2026
Only shortlisted candidates will be contacted.