At Sage Bionetworks, we believe that we can learn more by learning from each other. By improving the way scientists collaborate, we help to make science more effective. We partner with researchers, patients, and healthcare innovators to drive collaborative data-driven science to improve health. Making science more open, collaborative, and inclusive ultimately advances biomedicine.
Do you have expertise in tool building and a passion for mission-driven work? Do you want to be an important contributor to a team that includes computational biologists, software engineers, and data curators? If so, could be our next Bioinformatics Engineer.
As a member of our team, you will work closely with scientists and other bioinformatics engineers in the Computational Oncology group to support research projects in cancer and healthcare. Our work includes the harmonization, analysis, and sharing of biomedical data (e.g. genomic, clinical, and imaging data) across various biomedical research institutions) — and helping scientists around the world work together to accelerate discovery. Ideal candidates will be enthusiastic about the application of data science and technology to enable open, collaborative, and reproducible biomedical research.
What you’ll do:
- Develop tools and applications to facilitate tracking, scalability, and reproducibility of data and computational analyses in large scale scientific collaborations
- Assist with the creation of dashboards, visualizations, and other resources for experimental and clinical biologists to explore and leverage data and analysis results.
- Contribute to technical documentation and training materials to support users and other developers with diverse expertise.
- Work with Sage engineers to drive general improvements in data and analysis management platforms, transfer knowledge and code into production systems, or deploy standalone services and applications.
- Regularly participate in and monitor the development of external groups and communities to stay informed on best practices and standards.
We’d love to hear from you if:
- You’re passionate about open science and collaboration.
- You have a MS in Computer Science, Bioinformatics, Computer Engineering or a related field, or a BS with 2+ years of relevant job experience.
- You’re proficient in scripting and experienced with package development in R or Python.
- You have experience with collaborative development and version control systems (e.g. git).
- You are comfortable working in Linux and automating tasks via shell scripting or other techniques.
- You enjoy supporting diverse teams — including computational biologists, research ethicists, software engineers, and data librarians — to solve complex scientific problems.
- You have effective verbal, written, and organizational skills with the ability to communicate with a variety of technical and non-technical collaborators.
(also preferred, but not required)
- You have experience developing interactive apps and visualizations in R with Shiny, htmlwidgets, and related libraries.
- You are comfortable working in a cloud based IT environment.
- You’re proficient in container technologies such as Docker.
- You have experience working with biomedical (including genomic or clinical) data.
In light of recent concerns of Covid-19, all interviews will be conducted remotely, and most positions will be remote through at least June 30, 2021. The option to work on-site at our Seattle office prior to June 30, will be considered upon request.