Scientific Software Engineer at | Powderkeg

Location: Remote U.S.

Employment Type: Full-time

Team: Scientific Solutions

About the Opportunity

We are seeking talented Software Engineers to join our passionate team of engineers and scientists. At Flywheel, we’re creating a world-class data sharing and distributed computing platform serving biomedical imaging and life sciences research. The Scientific Solutions Engineering (SSE) team expands Flywheel features and provides value to our customers by developing innovative solutions, such as custom integrations, toolkits, and Gears. Gears are open- sourced, containerized applications which enhance the core Flywheel framework. Gears can perform data science tasks as well as run scientific algorithms. Gears allow our customers to extend and customize applications to suit their needs.

Successful applicants will have a desire to make positive contributions to the biomedical and life sciences communities we serve and a passion for problem- solving, elevating others around them, and delivering quality results on-time. This role requires a strong development background and knowledge of the technologies in use by the team, including Python, Docker, Git, unit and integration testing, and CI/CD.


Join us as we develop best practices for collaborative processes between engineers, the technical operations team, R&D, the SSE team, and the customer. Team members are recognized and rewarded when advocating for customer success, scientific rigor, and reproducible methods above other concerns. We value self-motivated, creative individuals who work well in a collaborative environment – constantly generating and sharing new ideas and innovative solutions with the team.

Our team is made up of people who code, many of whom have PhDs and deep scientific research backgrounds.

Flywheel has a comprehensive benefits package and encourages a balanced work life and home life.


  • Develop, test, and maintain new and existing high-quality data science tools, written primarily in Python, to plug into the Flywheel platform.
  • Maintain internal and external tools for making Gear development easier. Including CI/CD, CLI, and GUI applications.
  • Contribute to and maintain coding style/standards and best practices.
  • Develop tools and methods for integration with pre-existing scientific data management systems.
  • Develop methods for customers to load public datasets into Flywheel platform.
  • Perform QA and testing against Gears and the Flywheel platform itself.
  • Serve as advisor to the product management team for overall product experience and to key stakeholders for expanding data types supported on Flywheel.
  • Act as a technical resource internally and externally (between Engineers and Scientists).
  • Read customer-written code and applications, translate, and integrate into Flywheel's platform.
  • Work independently with a remote team.

What would make you a great fit

  • Strong software development skills with a proven track record of writing quality code and unit tests.
  • Solid proficiency with Python, Docker, and Bash.
  • Experience with continuous integration and continuous development (CI/CD).
  • Experience working with software development tools such as Git, and JIRA (or other issue management software).Direct experience working with REST APIs and SDKs.
  • Experience working with databases; both noSQL (e.g MongoDB, Redis) and SQL (e.g. Postgres, MariaDB).
  • Familiarity with open source software development practices (demonstrated community contributions are a plus).
  • Ability to manage multiple priorities while being responsive to stakeholder's needs.
  • Acute sensitivity to details and edge cases.
  • Driven by curiosity and creative problem solving.
  • Passion for writing quality code and tests.
  • Readiness to provide mentorship to fellow team members.
  • Knowledge of DICOM standard (strongly preferred).
  • Experience with Kubernetes (strongly preferred).
  • Development experience with Javascript (strongly preferred).
  • Integrating systems related to data acquisition and data analysis for users in multiple groups/disciplines.
  • Experience with scientific workflows designed for computational reproducibility.
  • Research experience with clinical or medical imaging (a plus).

Do you feel like you don't have everything that's listed above? If you have some of the skills and experience that we’re looking for and are willing to use your talent to learn the rest, we encourage you to apply!

About Us

Flywheel is the leading research data platform that's transforming the way biomedical and imaging data are managed at leading life sciences, clinical, and academic institutions globally.

Flywheel provides a comprehensive research data solution with all the tools needed for curation, imaging processing, machine learning workflows, and secure collaboration. By leveraging cloud scalability and automating research workflows, Flywheel helps organizations scale research data and analysis, improve scientific collaboration, and accelerate discoveries.

Company Values


The alchemy of effective teamwork happens when we each take ownership of both the menial and the magical every day. We’re serious, but never stuffy. We keep our cool under pressure because we assume best intentions and maintain perspective. This allows for true teamwork, with a dash of irreverence.


We are tenacious and united in our pursuit of solving our customers’ biggest challenges, and no challenge is too big. Diverse backgrounds across our team make us more effective as we listen, absorb, collaborate, and iterate to innovate.


We’re obsessed with uncovering the why of any given. Having an open mind allows us to be quick to fail and quick to adapt. We relentlessly pursue continual improvement through learning and imagining new possibilities.


We’re fueled by grit, boundless energy, and a deep belief that we are doing cool shit. We don’t hesitate to stand up and speak out because we trust that through tough, honest discourse we can drive change and make a real difference for our customers and our mission.

Job Summary
  • Job Title
    Scientific Software Engineer
  • Company
  • Location
  • Employment Type
    Full time
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