Director of Scientific Computing for Neural Dynamics

ClearCompany Talent Management Software; Seattle (WA); Hybrid; USD 224,000 - 294,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Job summary

Allen Institute in Seattle seeks a Director of Scientific Computing to define and execute a long-term computing strategy powering Neural Dynamics research with petabyte-scale datasets and large models. You will lead engineering, establish best practices, and foster collaborations with academia and industry to advance open science and radical discovery.

This leadership role requires a strong track record in ML, data systems, and scalable infrastructure, with relocation assistance and potential

Qualifications

• Bachelor's degree in computer science, engineering, or related field or equivalent experience.
• Minimum 10 years of experience in CS, data engineering, software development, data science, ML or related fields.
• Proven experience scaling tools and algorithms for large datasets.
• Expertise in ML and agentic workflows applied to large datasets.
• Experience leading engineering teams and strategic/operational planning.

Responsibilities

• Execute a long-term strategy to scale computing platforms, data infrastructure, and data processing capabilities.
• 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 analysis of petascale multimodal biological data using ML for images, timeseries, and omics data.
• Build and operate data processing pipelines for science platforms.
• Adopt and teach emerging technologies to keep Neural Dynamics at ML/AI forefront.
• Partner with teams to enable breakthrough discovery and open science.

Skills

Leadership

Strategic planning

Communication

Problem solving

Analytical thinking

Education

Bachelor's degree in CS/Engineering

Master's or PhD in a relevant field

Tools

ML frameworks

Cloud platforms

Data processing pipelines

Job description

Allen Institute in Seattle seeks a Director of Scientific Computing to define and execute a long-term computing strategy powering Neural Dynamics research with petabyte-scale datasets and large models. You will lead engineering, establish best practices, and foster collaborations with academia and industry to advance open science and radical discovery.

This leadership role requires a strong track record in ML, data systems, and scalable infrastructure, with relocation assistance and potential