Director of Scientific Computing for Neural Dynamics

Allen Institute; Seattle (WA); On-site; USD 224,000 - 294,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Job summary

The Allen Institute in Seattle, WA seeks a Director of Scientific Computing to define and execute the long-term computing strategy powering Neural Dynamics' research. You will oversee engineering capabilities that enable scientists to work with petabyte-scale datasets and large brain models, fostering open science and collaboration.

You will lead a cross-disciplinary team, scale platforms, and champion best practices in software, data management, and infrastructure usage while accelerating

Qualifications

• Bachelor's degree in computer science, engineering, or 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 ability to collaborate effectively in a multidisciplinary team environment, and being a spokesperson for the organization

Responsibilities

• 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 platforms
• Identify, 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

Skills

Leadership

Analytical skills

Problem solving

Software engineering best practices

Mentoring

Communication

Strategic planning

Operational planning

People management

ML on large datasets

Scaling tools for large datasets

Engineering leadership

Education

Bachelor's degree in computer science or engineering

Master's or PhD in engineering or science

Tools

Cloud computing

ML frameworks

Job description

The Allen Institute in Seattle, WA seeks a Director of Scientific Computing to define and execute the long-term computing strategy powering Neural Dynamics' research. You will oversee engineering capabilities that enable scientists to work with petabyte-scale datasets and large brain models, fostering open science and collaboration.

You will lead a cross-disciplinary team, scale platforms, and champion best practices in software, data management, and infrastructure usage while accelerating