Computational infrastructure

Build computational infrastructure and data workflows for de novo protein design. The scientist develops instrument-to-analysis pipelines and protein databases, connects sequence and structural models with experimental measurements, contributes machine-learning models, and advises researchers on reproducible computational workflows. The full-time, 37-hour position starts on 1 February 2027 and runs through 31 July 2032. Applications include a cover letter, CV with two referees, publication list and education certificates.

…with research scientists on computational infrastructure and the development and evaluation of models for engineering biological systems.

Neuroscience is experiencing unprecedented growth in dataset size both within individual brains and across populations. Large-scale, multimodal datasets are transforming our understanding of brain structure and function, creating opportunities to address previously unexplored questions. However, managing this increasing data volume requires new training and technology approaches. Modern data technologies are reshaping neuroscience by enabling researchers to tackle complex questions within a Ph.D. or postdoctoral timeframe. I will discuss cloud-based platforms such as brainlife.io, that provide