Scientist I Applied Statistics and Machine Learning - Neural Dynamics
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 Neural Dynamics is focused on fundamental discoveries in systems neuroscience. We are interested in how the brain builds our understanding of the complex world to guide the flexible behaviors that address our biological needs. The answers will be in terms of defined neuron types and circuits interacting across the whole brain and body. We will develop next-generation methods and theories and employ a team-based approach for discovery neuroscience. Knowledge, data, models and tools will be widely shared, in part to support the development of therapies for brain disorders.
We seek a computational scientist experienced with modern applied statistics and machine learning to model peta-scale, multimodal neuroscientific data collected on cutting-edge data generation platforms. Potential projects include: 1) building detailed maps of brain structures based on single-cell transcriptomic profiles; 2) refining these maps based on high-throughput measurements of morphology and connectivity; 3) linking these maps with cell type-specific measurements of neural activity during behavior. The ideal candidate will have deep experience building computational models from large-scale datasets and engage collaboratively with data collection and data engineering teams to ensure model efficacy.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. Progress in science benefits from multiple perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
* Conceive, develop, and implement statistical and machine learning models to drive discovery from large biological datasets
* Participate in a highly interactive and multidisciplinary environment
* Influence data collection and processing pipelines to improve data quality and model performance
* Effectively communicate findings across the institute as well as to the greater scientific community in peer-reviewed journals, scientific conferences, and web documentation
* Practice software development best practices and follow industry standards
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education and Experience
* PhD degree in computer science, neuroscience, physics, mathematics, applied mathematics, engineering, or related field, or equivalent combination of degree and experience
* Experience in applied statistics and machine learning
* Command of current statistics and machine learning literature
* Experience in scientific computing including Python and Linux/UNIX environment
Preferred Education and Experience
* Demonstrated success working on interdisciplinary projects
* Experience in high-performance scientific computing
* Experience in computational neuroscience
* Familiarity with best practices for open-source software development
* Familiarity with high-throughput biological data
* Fine motor movements in fingers/hands to operate computers and lab equipment
Position Type/Expected Hours of Work
* This role is currently able to work remotely due to COVID-19 and our focus on employee safety. We are a Washington State employer, and remote work must be performed in Washington State. We continue to evaluate the safest options for our employees. As restrictions are lifted in relation to COVID-19, this role will return to work onsite.
* Attendance and participation in national and international conferences required (travel may not be required to attend)
Additional Eligibility Qualifications
* In keeping with our focus on employee safety, all employees must be fully vaccinated against COVID-19 as a condition of employment unless a medical or religious exemption is approved. All employees will be required to keep their vaccination status up to date according to CDC guidance and our policy.
* Please note, this opportunity offers relocation assistance
* Please note, this opportunity offers work visa sponsorship
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, 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.