Ai Engineer for International Health Group

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases and Maternal Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

**WHAT WE ARE LOOKING FOR**:
**KEY RESPONSIBILITIES**:

- Develop and Integrate AI Solutions: Design, fine-tune, and deploy LLMs and generative AI systems specialized in travel medicine, supporting clinical decision-making, risk assessment, and health guidance for international travelers.
- AI Assistant Development: Build and maintain intelligent assistants and conversational agents for the travel medicine app, ensuring accurate, safe, and context-aware medical guidance aligned with validated clinical protocols.
- Knowledge Engineering: Curate, structure, and maintain high-quality medical and epidemiological datasets to enhance model training, retrieval-augmented generation (RAG) pipelines, and domain-specific reasoning.
- Model Evaluation and Optimization: Continuously assess AI system performance through benchmarking, human evaluation, and real-world feedback, improving accuracy, reliability, and user trust.
- Responsible AI Practices: Ensure compliance with ethical, privacy, and safety principles in AI development, including GDPR alignment, bias monitoring, and transparent documentation of AI outputs and limitations.
- Documentation and Reproducibility: Maintain technical documentation, model cards, and SOPs for AI workflows.

**SPECIFIC DUTIES**:

- Model Design and Implementation: Develop domain-specific LLMs using modern frameworks (e.g., PyTorch, Hugging Face, LangChain), integrating structured medical knowledge and multilingual capabilities. AI Assistant Integration: Collaborate with mobile and backend developers to embed AI functionalities (chatbots, triage tools, symptom interpreters, or travel-health guides) into the app ecosystem. Data Preparation and Curation: Build pipelines to clean, harmonize, and enrich health, mobility, and climate datasets for use in AI training and evaluation. Continuous Improvement: Experiment with fine-tuning, prompt engineering, RAG pipelines, and memory systems to enhance context retention and user personalization. Monitoring and Evaluation: Implement dashboards and analytics tools to track AI usage, performance, and safety metrics in real time.

**AUXILIAR TASKS**

This job description reflects the present requirements of the post but may evolve at any time in the future as duties and responsibilities change and/or develop providing there is appropriate consultation with the post-holder.

**SKILLS**:

- AI and NLP Expertise: Experience in training, fine-tuning, and deploying LLMs or generative AI systems using modern architectures and frameworks. Programming Proficiency: Expert-level skills in Python (PyTorch, transformers, LangChain), and familiarity with cloud infrastructure (GCP, AWS, or Azure).
- Experience with data pipelines and SQL.
- Ability to explain AI concepts clearly to technical and non-technical stakeholders, and to work within multidisciplinary, international teams.
- Domain Knowledge: Familiarity with global health, epidemiology, or clinical data.

The post holder will adhere to ISGlobal principles contained in **People management policy, including Equity, diversity and health safety**. The post holder will respect, and be accountable to ensure ISGlobal policies and procedures.

**TRAINING AND EXPERIENCE / QUALIFICATIONS**:

- Educational Background: Degree or Master in Statistics, Biostatistics, Mathematics, Epidemiology, Biological Science or a related quantitative discipline.
- Language Proficiency: Fluent in English and Spanish, both written and spoken. Additional languages are an asset.

**LANGUAGE LEVEL**:

- Proficiency in English and Spanish.

**CONDITIONS**:

- Duration: 6 months
- Starting date: November 2025
- Contract Type: Part time
- Salary: According to ISGlobal internal salary scale

**HOW TO APPLY**:
**SELECTION PROCESS**:
The selection process is designed in two phases:
1- Interview phase of a technical nature, with the team that requires the incorporation. To assess the person's skills and CV.
2 - Meeting with HR with the finalist(s) to finish assessing the profile and discuss contractual and institutional issues.

If needed any technical test could be passed. A Psychological Competency Evaluation Test will be required for the structural or transversal positions.