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Experienced Technical Project Manager

Department: 4000- IT
Location: Seattle

Experienced Technical Project Manager

The Allen Institute for Brain Science seeks an experienced Technical Project Manager to support large scale, scientific data processing and integration pipelines. Under minimal supervision and guidance, the Technical Project Managerwill gather high level requirements, convert them into detailed technical plans and work with a cross-functional team of software engineers to develop prototypes and implement application-specific solutions. The individual will monitor the progress of data collection, oversee pipeline analysis modules, ensure data integrity, curate data and manage data releases for the BRAIN Initiative Cell Census Network (BICCN) ( and Allen Brain Map (

The Technical Project Manager will be adept at communicating at appropriate levels to mid and senior level managers, scientists, and computer engineers, and will be able to bridge the gap between the teams to make sure that project milestones are delivered on time. The Technical Project Manager customers are internal scientists who uses the data pipeline in their experiments, consortium scientists generating data for the BICCN and the external researchers who will reference and build upon the data and insights of the data resources.

The ideal candidate is:

  • Results-oriented with a passion for delivering successful projects, and has a proven track record of increasing team velocity and effectiveness.
  • A natural leader with strong communication and collaboration skills, experience building consensus when faced with challenging group dynamics, and the ability to work effectively across scientific, technical and business interfaces.
  • Able to set expectations (vertically and horizontally) and hold individuals and teams accountable to their commitments.
  • Detail-oriented and organized
  • Adept at distinguishing what is important from what is noise (however loud), and prioritizing accordingly.
  • Comfortable working with large, complex relational databases.


  • Oversee end-to-end pipeline development, including: gathering requirements, planning, implementation, monitoring progress, and supporting end-users.
  • Curate data and manage data releases for the Allen Brain Atlas and external products. Ensure data/feature interoperability across multiple project teams through consistent application of ontologies and quality standards
  • Drive project requirements. Gather input from management, internal and external stakeholders, and technical teams. Curate and prioritize requirements based on scientific value, opportunity to streamline workflows, and alignment of development resources with anticipated costs.
  • Keep projects on track for success in a complex environment with resource constraints, aggressive timelines, and priorities that can adjust to scientific discoveries. Identify, assess, and track issues and risks at multiple levels. Escalate issues when appropriate.
  • Foster effective collaboration across disparate groups of scientists, engineers, and executive leadership. Create and maintain useful project information in tools like JIRA, Confluence, Slack, and Sharepoint. Plan and facilitate meetings and workshops (e.g. data quality reviews) with clear goals and expected outcomes.


  • BA/BS in Computer Science, Biological Science, OR equivalent combination of experience and education.
  • 10-14 years of progressively responsible experience delivering data applications
  • Experience bringing cross-functional teams together in multi-party collaborations
  • Experience in the use of project management, collaboration management, and efficiency software tools.
  • Experience with sprint cycles, projects involving design of scalable software and/or use of big data.
  • Can use SQL to query databases, including joining data from multiple tables and aggregating data.
  • Basic familiarity with Python, Ruby and shell scripting on Linux to create simple programs and tools to query and transform data.


  • M.S. or Ph.D. in biological or data science, with a strong preference towards candidates having expertise in both scientific and technical domains.
  • Demonstrate advanced ability to translate scientific and technical subject matter into concise, clear communication understood by technical and non-technical leaders and constituent
  • Familiar with standard git workflows, DevOps practices, and comfortable working with GitHub repositories

*Please note this is a contracted position*

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