Job Openings at the Allen Institute
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Department: | Modeling |
Scientist I, Deep Learning and Computer Vision – Cell Science
The mission of the Allen Institute for Cell Science is to create multi-scale visual models of cell organization, dynamics, and activities. Our approach encompasses large scale data collection, observation, theory, and predictions to understand cellular behavior in normal and pathological contexts. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science.
The Allen Institute for Cell Science uses 3D live cell imaging to generate unprecedented data for the analysis of the cell and its components as an integrated system. We seek a talented scientist to join the Computational Biology and Machine Learning Team to help build, analyze, and deploy sophisticated computational models of cell states and dynamic cellular processes that leverage these rich images and movies independently and in concert with diverse complementary data. Research at the Institute is highly collaborative, requiring scientists and engineers to work across disciplines, focusing on high impact biological questions and establishing/maintaining the highest standards for best practices and computational rigor.
The role of this position is to develop, implement and apply deep neural networks to identify and understand patterns in Institute-generated high content, live cell microscopy images and time-lapse movies. Examples of current machine learning projects in the team include: prediction of subcellular structures from transmitted light microscopy (see here), and building an integrated model of subcellular structure using a conditional generative model (see here).
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
**Applicants should include a brief cover letter (max 1 Page) summarizing relevant research experience and qualifications.
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Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
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