Join us
We are a collaborative research group based at the Barcelona Institute for Global Health working at the intersection of computational and genomic epidemiology and infectious disease surveillance. We offer an environment that combines methodological innovation with applied public health research, with opportunities to work across multiple pathogens, datasets, and geographic contexts and in close collaboration with international partners.
We are always happy to hear from curious, collaborative scientists who share our interest in using genomic and computational epidemiology to understand pathogen transmission and support public health action.
Current openings
Postdoctoral Research Fellow
We are currently recruiting a postdoctoral research fellow to work on a La Caixa foundation funded project on inferential frameworks for malaria transmission chain inference and transmission network reconstruction from genomic and epidemiological data. This project will involve network-based and Bayesian statistical modelling approaches as well as scientific software development, with a strong emphasis on methodological innovation and translational public health applications.
Expressions of interest for Marie Curie Postdoctoral Fellowships
We are open to supporting Marie Curie Postdoctoral Fellowship applications from candidates whose interests align with our research areas, including genomic epidemiology, transmission modelling, and pathogen surveillance. In particular, we encourage candidates interested in further developing our emerging projects and research lines.
If you are considering applying, please submit an expression of interest for potential host support. Please get in touch early if you’d like to further discuss project fit.
General expressions of interest and prospective students
We are always interested in working with motivated students and researchers who are excited about:
- developing methods in genomic and computational epidemiology, statistical modelling, or related quantitative fields
- working with real-world data to understand transmission dynamics
- contributing to open-source tools and reproducible research
- engaging in collaborative and interdisciplinary projects
We are especially happy to hear from students who want to combine rigorous methods with real-world public health questions and are interested in developing skills in genomic epidemiology, modelling, pathogen surveillance, coding, and open-source tool development.
For consideration, please send:
- Your CV, including a list of publications and your GitHub profile. Depending on your career stage, you can highlight any previous work, coursework, or projects that you think are relevant.
- A short cover letter describing your research interests and career motivations.
- Optional: links to up to two papers, preprints, code repositories, or other work you would like to us to know about.
There is no ideal profile. We believe in team diversity and value curiosity, quantitative thinking, teamwork, and enthusiasm for collaborative work, open science, and public-health-relevant research.
How we work
Team culture
We value open, collaborative, and supportive working environments.
Our work often involves:
- close collaboration across institutions and countries
- interdisciplinary research spanning public health, molecular and quantitative disciplines
- a balance between independent work and team-based projects
We aim to foster an environment where ideas are shared openly, and where researchers can develop both scientific and collaborative skills.
Training and development
We are committed to supporting the development of early-career researchers.
This includes:
- mentoring and supervision across projects
- opportunities to develop analytical and computational skills
- involvement in collaborative and international research networks
- engagement in training workshops and capacity strengthening activities
Our goal is to support both the scientific development and long-term career growth of our team members.