About this opportunity
ClearCompany Talent Management Software lists this Director, Scientific Computing - Neural Dynamics opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Director, Scientific Computing - Neural Dynamics
Director, Scientific Computing - Neural Dynamics
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 Neural Dynamics accelerator is to understand how the brain generates flexible behavior. We aim to uncover the algorithms-implemented by dynamics in brain-wide neural circuits that allow animals to build internal models, process information, and choose actions.
We are searching for a Director of Scientific Computing to define and execute the long-term scientific computing strategy that powers Neural Dynamics' research programs and radical approach to open science. The Director will oversee engineering capabilities that empower internal and external scientists to make discoveries using petabyte scale biological datasets and large foundation and mechanistic models of the brain.
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
Execute a long-term strategy to scale computing platforms, data infrastructure, and data processing capabilities to support ambitious science projects
Serve as a senior technology leader, collaborating with scientific, operational, and administrative teams
Establish best practices and standards for software engineering, including data management and infrastructure usage
Develop and foster strategic collaborations with academic institutions, non-profits, technology companies, and community standards bodies
Lead the analysis of petascale multimodal biological data, leveraging state-of-the-art ML for images, timeseries, and omics data
Build and operate performant data processing pipelines for science platformsIdentify, adopt and teach emerging technologies to ensure that Neural Dynamics stays at the forefront of ML and AI
Partner with scientific and engineering teams across the Institute to enable breakthrough discovery at the intersection of biology and computation and advancing integrated, multimodal data platforms and resources that support open science and broad community use
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 in computer science, engineering, or a related field; or equivalent combination of education and experience
Minimum of 10 years of experience in computer science, data engineering, software development, data science, machine learning or related fields
Proven experience in scaling tools and algorithms for large datasets
Expertise in ML and agentic workflows applied to large datasets
Experience managing and leading engineering teams
Proven excellent strategic and operational planning skills
Strong leadership, analytical, and problem-solving skills
Understanding of software engineering best practices
Experience in mentoring and career development
Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment, and being a spokesperson for the organization
Preferred Education and Experience
Master's or PhD in a relevant engineering of science discipline
Experience with neuroscience or other biomedical sciences
Expertise in ML applied to large-scale image data and / or time-series analysis
Expertise in cloud computing, including strategy, deployment, and management
Experience in integrating scientific priorities and operational excellence
Experience in managing complex technology operations and multi-disciplinary teams
Demonstrated capability in financial planning and oversight, people management, and meeting aggressive timelines
Physical Demands
Fine motor movements in fingers/hands to operate computers and other office equipment
Position Type/Expected Hours of Work
This role is currently working onsite and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 615 Westlake Ave N.
Travel
Attendance and participation in national and international conferences as appropriate
Additional Comments
Please note, this opportunity offers relocation assistance
Please note, this opportunity may offer work visa sponsorship
Annualized Salary Range
$224,200 - $294,250
* 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 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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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.