Full Stack Web Developer for Life Science Research

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.

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