Top Tech Jobs & Startup Jobs in Seattle, WA

Develop and deploy scalable AI/ML models for multimodal neuropathology data, including digital histology, spatial transcriptomics, MRI, and clinical metadata. Build data pipelines and distributed training infrastructure across cloud and GPU environments. Apply computer vision, foundation models, Bayesian methods, and causal modeling to understand neurodegenerative disease progression. Collaborate with scientists, neuropathologists, computational biologists, and engineers, while publishing research and releasing open-source tools, models, and code.

Coordinates operations and project management for the Brain Health accelerator. Maintains project tracking tools, workflows, SOPs, timelines, milestones, budgets, invoices, purchase orders, and deliverables. Organizes meetings, reviews, workshops, and consortium activities; supports collaborations, material transfer agreements, biosafety registrations, publications, and externally funded project compliance. Identifies project risks, implements mitigation strategies, supports fiscal reporting, and improves operational communications and processes.

Develop and deploy large-scale AI/ML models for quantitative neuropathology, integrating digital histology, spatial transcriptomics, MRI, and clinical data. Build computer vision, foundation, Bayesian, and causal models to characterize neurodegenerative disease progression. Maintain scalable data pipelines across cloud and GPU infrastructure, collaborate with multidisciplinary research teams, and publish findings while releasing open-source code and models.

Develops and executes stakeholder engagement plans, communications, events, and convenings for the Allen Institute. The role creates audience-specific content, translates scientific and institutional information for varied audiences, coordinates cross-functional projects involving senior leaders, manages engagement calendars and CRM records, and uses stakeholder research and performance data to improve communications and operating processes.

Develop and execute media relations strategies, build journalist relationships, manage media inquiries, produce communications materials, coach leaders and scientists, monitor media results, support crisis communications, and create multimedia content. The role promotes the Institute’s scientific work across print, broadcast, digital, social, and other channels while collaborating with internal communications, marketing, events, and scientific teams.

Own and evolve the Allen Institute’s multi-cloud AI compute platform, including Kubernetes control planes, operators, APIs, web UI, CLI, telemetry, security, and compliance. Build reliable infrastructure across AWS and GCP for scientific AI workloads, establish production-quality engineering practices, and collaborate with scientists, engineers, and vendors. Develop toolkits supporting agentic science, data access, and AI-augmented research.

Conduct machine learning research on large-scale neural, behavioral, EMG, and video datasets. Develop and evaluate latent-variable, regression, classification, dimensionality-reduction, and signal-processing models to understand neural population coding of movement. Produce reproducible Python analyses, communicate findings, and contribute to scientific presentations and publications while working under mentorship in a collaborative neuroscience research environment.

Lead and optimize the organization’s contracts program, managing the full contract lifecycle and administering the CLM platform. Draft and negotiate research, services, consulting, and commercial agreements; maintain templates, playbooks, workflows, documentation, and service standards; implement technology and AI process improvements; collaborate with Legal on risk strategies; and supervise contract specialists supporting internal and external stakeholders.

Build, deploy, and maintain cloud and on-premises infrastructure for high-throughput data pipelines. Define Linux configuration as code (Ansible), manage Terraform-based AWS infrastructure, support CI/CD, databases, logging and metrics, troubleshoot production/staging issues, and participate in on-hours support rotations.

Manage a large Linux-based scientific computing environment, including servers, workstations, storage, cloud infrastructure, patching, cybersecurity agents, monitoring, lifecycle management, and performance scaling. Design and deploy infrastructure services, automate operations with shell or Python, develop system standards, and support highly available services. The role includes rotating evening and weekend on-call coverage, occasional additional hours, and local travel to data centers or other institute locations.