Careers at Allen Institute

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

Software Engineer III - Informatics Development

Department: 4000- Data and Technology
Location: Seattle

Software Engineer III  – Informatics Development 

The Allen Institute for Brain Science seeks a Software Engineer III (SWE) to join the Data Management team. This SWE will support large scale scientific data processing pipelines by creating and maintaining code and monitoring and curating the production pipeline to ensure the creation and delivery of large data sets. There is a significant project and data management component to this role. 

This self-starter role will work with stakeholders to define requirements and convert them to actionable specifications. The SWE will collaborate with data production teams and engineers to design high-throughput data collection and analysis workflows. You will write your own software and will manage large scientific data sets and analysis pipelines serving neuroscience and brain imaging research communities around the world. You will interact regularly with neuroscientists and a wide variety of engineers, collaborating in a large team working on new discoveries about the brain. 

Our team uses popular and modern software tools in our Linux-based workflow. Most analysis code will be implemented in Python, although other languages could be required. You will design processing pipelines that run independently, and using our custom laboratory information management system, which is written in Ruby on Rails, running on PostgreSQL. 

To gain more insight on the projects you will impact, please visit the Allen Institute for Brain Science’s website link to: http://brain-map.org/ 

Job Responsibilities

  • Gather requirements from stakeholders and design files, metrics and visualizations representing brain and cellular properties and activity at various scales.
  • Monitor ongoing data quality and analysis results as part of curation for regular public data releases.
  • Use software engineering principles to write, maintain, and deploy robust scientific software based on high level functional requirements and team input.
  • Collaborate effectively with experts in diverse scientific and engineering topics, including neuroscience, high performance scientific computing, computer vision, and web applications.
  • Apply a modern software engineering workflow, including emphasis on code review, continuous integration, and automatic testing.
  • Create reports to summarize experimental data for review and validation.
  • Participate in writing, presenting and reviewing strategic and operational reports

Required Qualifications

  • Bachelor’s degree in a relevant technical discipline.
  • 6+ years’ experience as a software engineer or relevant role
  • Demonstrated experience in data analysis.
  • Ability to define stopping points and close issues.
  • Ability to write advanced, complex SQL queries against a relational database.
  • Experience with command line development tools in a Linux environment.
  • Expert level development experience in at least one general purpose, dynamically typed object-oriented language (Python, Ruby).
  • Familiarity with entire software toolchain, including source code management (git), debuggers, and testing methodologies.
  • Ability to gather requirements from collaborators, synthesize into development work items, describe to colleagues and discuss implementation ideas, record issues, execute and complete.

Preferred Qualifications

  • Advanced degree in a relevant technical discipline.
  • History of contributing to open source projects.
  • Interest in neuroscience and curiosity about how the brain works.
  • Experience writing code and configuring systems to facilitate automated testing, building, and deployment of software.

**Please note, this opportunity does not sponsor work visas and has no relocation assistance.**

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Applicant Tracking System Powered by ClearCompany HRM Applicant Tracking System