Scientific Computing Associate – Machine Learning Software Engineer, HHMI Janelia, USA
Janelia Research Campus is a pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in neuroscience and imaging. The Howard Hughes Medical Institute (HHMI) launched Janelia in 2006, establishing an intellectually distinctive environment for scientists to do creative, collaborative, hands-on work. Our integrated teams of biologists, computational scientists, and tool-builders pursue a small number of scientific questions with potential for transformative impact. We share our methods, results, and tools with the scientific community. It is a uniquely innovative and collaborative atmosphere that reflects HHMI’s reputation for excellence.
Open-source code and software are immensely important to progress in all areas of science. Sharing code allows the same analyses to be performed across labs, facilitates wide-spread use of computational tools that are increasingly important in biology, and enables different groups to build on others’ achievements. Additionally, the transparency that open-source code provides creates trust in results produced by scientific software. Importantly, sharing code successfully requires more than just releasing it as-is under an open license. Only well-designed and well-documented code is easy to reuse or modify for new applications by other developers (developer-friendly); significant effort is required to bring research-based code to this level. Similarly hard is the design of intuitive user interfaces that allow scientists without expert knowledge of the underlying algorithms to use the software (user-friendly). Additional sustained long-term effort is often required to maintain the code over its lifetime and provide user support.
We recently created the Open Science Software Initiative (OSSI) that is focused on working closely with labs and teams at HHMI Janelia to create impactful open-source software for the broader research community.
We are looking for a talented and motivated Scientific Computing Associate (SCA) who is enthusiastic about open-source software development and would like to work on one or more of these exciting, machine learning centric projects:
- CellPose and Suite2p (with Stringer lab)
- Open-source platform for single-molecule localization (with Turaga lab)
- Kilosort (with Pachitariu lab)
- Usable, extensible video annotation library for machine learning (with Branson lab)
- Paintera (with Saalfeld lab)
For additional information please check the job offer.