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Department: | Neural Coding |
Scientist II – Machine Learning in Electron Microscopic Connectomics - Neural Coding
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling and theory.
The Neural Coding department examines the relationship between neural circuits and neural dynamics by combining in vivo functional imaging with ex vivo state of the art electron microscopy (EM). We provide resources to the neuroscience community to accelerate community progress towards these aims (for example, www.microns-explorer.org).
We are seeking a scientist to work as a part of an integrated team of scientists and engineers to develop scalable analysis methods to describe biologically meaningful patterns and phenomena in large-scale electron microscopy datasets. The scientist will research, develop and implement analysis workflows, including developing machine learning models. This will include developing conceptual approaches, executing data cleaning workflows, developing models and training regimens, and executing these approaches across large-scale data. The scientist will communicate their work to a variety of internal and external stakeholders in the form of written and oral presentations including contributing to scientific publications highlighting the biological insights extracted from the data. The scientist will contribute to making the results of their work accessible to others within the team and external to the institute via contribution to open-source software in order to multiply the impact of the data and their work.
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.
Essential Functions
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.
Required Education and Experience
Preferred Education and Experience
Physical Demands
Position Type/ Expected Hours of Work
Travel
Additional Eligibility Qualifications
Additional Comments
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of ae, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.