Software Engineer II - Connectomics Visualization
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
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.
We are seeking a
Software Engineer
to work on developing a web-based infrastructure to visualization of large-scale connectivity data in the mammalian brain. The software engineer will work closely with our scientific and product management teams to develop visualization tools that help scientists access, query and visualize connectivity data in raw and distilled forms. This position is part of a larger effort within the NIH's BRAIN CONNECTS project to develop a multimodal knowledge base of connectivity data that summarizes what we know about the synaptic connections and projections of neurons in the mammalian brain.
The software engineer will help build open-source applications, including front-end interfaces that facilitate large scale analysis of dynamic connectomics datasets that will be used by researchers around the world. The software engineer will collaborate with software engineers, product managers and scientists to refine and develop these applications to best serve scientific exploration.
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
Collaborate with others to develop web-based applications visualizing large scale connectomics and morphology datasets
Follow good software engineering processes, such as version control, continuous testing and documentation
Effectively divide engineering work across multiple projects to meet organizational objectives
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
Bachelor's degree or equivalent combination of degree and experience
Minimum of 1-year relevant work experience
Experience building WebGL based applications and/or services that selectively download, process and display datasets of >10GB from remote servers
Experience with Typescript
Preferred Education and Experience
2 - 4 years relevant work experience
Excellent communication skills
Experience with multi-tasking/prioritizing
Experience working with large scale connectomics data
Experience working in a remote or hybrid environment
Physical Demands
Fine motor movements in fingers/hands to operate computers
Position Type/Expected Hours of Work
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.
Occasional evening and weekend hours required
Travel
Occasional opportunities for attendance and participation in national and international conferences
Additional Comments
• Please note, this opportunity offers relocation assistance*Please note, this opportunity offers work visa sponsorship*
Annualized Salary Range
$108,350 - $144,450 * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
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 Institutes 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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