Full Stack Web Developer for Life Science Research
Immigration Policy Lab
Full Stack Web Developer for Life Science Research
100%, Zurich, fixed-term
The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Full Stack Web Developer for Life Science Research in the laboratory of Prof. Pedro Beltrao.
The Beltrao group is dedicated to studying the mechanisms underlying genotype to phenotype relationships. We are interested in understanding how genetic variation introduced at the level of the DNA can cause changes in protein function, how these impact on cellular processes, ultimately giving rise to human disease. While we have a strong track record in fundamental research using computational methods and increasingly Artificial Intelligence approaches, we are now focused on making these innovations broadly available to the scientific community and beyond.
We aim to bridge the gap between academic code and real-world application. This project aims to develop robust web resources that can share large-scale datasets and AI-driven predictions with a wider audience. As we move our work toward more translational applications, we are looking for a developer who can help us transform research prototypes into user-friendly products with potential commercial viability.
Job description
You are an experienced computer programmer familiar with both front and back end development, with a keen interest in product development and bioinformatics. We welcome applicants with either strong experience in full stack web development or a strong background in bioinformatics who are eager to work in an entrepreneurial, fast-paced environment.
You will play a pivotal role in "productionizing" our computational research. Your primary responsibilities will include:
- Designing and maintaining web interfaces for our AI/computational tools.
- Optimizing back-end architecture to handle large-scale genomic and phenotypic data.
- Collaborating with researchers to translate experimental AI models into stable web services.
- Contributing to the strategic development of tools that may serve as the foundation for future spin-off or start-up venture.
Profile
- Degree in Computer Science or a Bioinformatic related degree and prior work experience as a web developer.
- Proficiency with fundamental front-end languages such as HTML, CSS and JavaScript frameworks such as Angular JS, React and Amber.
- Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net.
- Familiarity with database technology such as MySQL, Oracle and MongoDB.
- Ability to work collaboratively with excellent verbal communication skills.
- An entrepreneurial mindset or interest in the commercialization of scientific software is highly desirable.
- Knowledge of bioinformatics, human genetics and/or structural bioinformatics would be very positively considered.
Workplace
Workplace
We offer
- Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
- You will have the opportunity to shape the development of the project from the start and have strong support from bioinformatics and domain knowledge experts. There will be training opportunities to further develop and grow on the job.
- You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
We value diversity and sustainability
Curious? So are we.
We look forward to receiving your online application by 23rd January 2026 with the following documents:
- Cover letter describing your background and motivation
- CV
- Reference letters
- Diplomas
Further information about the group and the institute can be found on our Website.Questions regarding the position should be directed to Prof. Pedro Beltrao by Email: beltrao@imsb.biol.ethz.ch (no applications). The position is tied to the project duration of 18 months. A possible extension can be considered at a later stage.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
For recruitment services the GTC of ETH Zurich apply.