About this opportunity
ClearCompany Talent Management Software lists this Scientist I - Neural Coding opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Are you ready for new challenges and new opportunities? Join our team in Seattle!
Current job opportunities are posted here as they become available.
The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.
The goal of the Brain Science accelerator is to produce three interlocking resources: cell type atlases that catalog every kind of brain cell across ages and species, connectomes that chart the brain's intricate wiring, and a knowledge platform that knits it all together with powerful analysis tools. Every dataset is freely shared, so discoveries made here fuel discoveries everywhere.
We are seeking a neuroscientist to lead the effort in image processing and analysis of large-scale Electron Microscopy (EM) datasets. The scientist will be responsible for overseeing EM image processing and will participate in the analysis of large-scale datasets. Examples of work related to this position can be found on:
The scientist will be an essential member of the Connectomics Department creating the datasets to study cell types across multiple modalities and their relationship with brain function.
At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
Collaborate with others to further scale the image processing of a high throughput electron microscopy pipeline towards whole mouse brain datasets
Oversee EM data 2D stitching and 3D alignment automated pipeline
Work closely with a team of anatomists, physiologists, theoreticians, and modelers to analyze EM data in the context of cell types and interpret the relationship between structure and modalities of cells such as molecular and physiology properties
Publish/present findings in peer-reviewed journals/scientific conferences
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
Ph.D. in Neuroscience, Computer Science, Applied Math, Engineering; or equivalent combination of degree and experience
Strong background in image processing
Experience with software engineering best practices (e.g. version control and code reviews)
Preferred Education and Experience
Experience with Python
Experience with cloud computing
3 - 5 years experience with relevant computer programing
Experience in Connectomics
Strong publication record
Ability to work independently and within a collaborative, multi-disciplinary environment to meet aggressive timelines
Ability to guide teams and coordinate activities within and across institutions, including coaching/mentoring junior members
Machine learning experienceExcellent verbal and written communication skills
This may include wearing personnel protective equipment (PPE)
Physical Demands
Occasional lifting up to 30 pounds
Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment
Stooping, bending, crouching
Reaching, or climbing ladders
Position Type/Expected Hours of Work
Occasional evening and weekend hours may be required
This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis
Travel
Occasional travel to partner sites for compliance oversight may be required
Occasional attendance and participation in national and international conferences required
Additional Comments
**Please note, this opportunity offersrelocation assistance**
**Please note, this opportunity may offer work visa sponsorship**
Annualized Salary Range
$86,150 - $106,650*
* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institute's Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: .
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.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.