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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.

Leads the Molecular Tool Development automation group, setting strategy and managing staff, vendors, budgets, and resources. Translates complex molecular laboratory workflows into scalable, validated liquid-handling automation solutions. Oversees requirements, scripting, platform integration, validation, deployment, support, and technical standards. Partners with scientists and engineers across proteomics, cell assays, and NGS programs, while developing training, mentoring staff, and advancing high-throughput, reproducible research capabilities.

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 and maintain machine learning training, evaluation, data access, and model infrastructure for biological research. Responsibilities include designing large-scale data storage and versioning systems, maintaining a model zoo, supporting lab-in-the-loop training, making build-versus-buy decisions, and collaborating with AI scientists to develop novel models.

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.

Lead institute-wide data governance, metadata standards, and lifecycle management for large multimodal biological datasets. Own data stewardship, cataloging, and compliance (NIST/HIPAA), drive adoption of standards, advise scientific and technical leaders, and lead cross-functional initiatives to improve discoverability, reuse, and long-term data sustainability.