Top Tech Jobs & Startup Jobs

Owns the lifecycle, roadmap, stability, and strategic direction of enterprise applications, including Atlassian, Anthropic, OpenAI, and administrative and scientific systems. Gathers requirements, manages backlogs, designs solutions, oversees testing and integrations, coordinates moderately complex projects, supports cloud operations, troubleshoots issues, manages vendors, and mentors junior staff. The role also establishes project management processes, ensures service continuity, and collaborates with business and IT stakeholders.

Leads pre- and post-award financial management for approximately $100M in federal grants and private funding. Oversees budgeting, forecasting, effort tracking, cash drawdowns, invoicing, compliance, audits, and sponsor reporting. Manages financial analysts, advises principal investigators and project managers, interprets Uniform Guidance, and partners with Accounting, OSR, FP&A, Procurement, and ERP teams to automate processes and strengthen grant financial controls.

Provides technical leadership and hands-on software development for automated scientific instruments integrating robotics, motion control, imaging, sensors, actuators, and data systems. Responsibilities include software architecture, hardware integration, testing, CI/CD, deployment, observability, requirements translation, troubleshooting, technical reviews, and mentoring. The role partners with scientists and multidisciplinary engineers to transition prototypes into reliable, maintainable laboratory platforms.

Designs, builds, integrates, and commissions robotic and automated scientific instruments. Responsibilities include robot programming, motion control, sensor integration, mechanical and electrical design, calibration, testing, troubleshooting, documentation, safety implementation, and mentoring. The role leads subsystems from concept through deployment while collaborating with scientists and engineers in laboratory, machine shop, and assembly environments.

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.

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.

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.

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.