Sage Bionetworks Culture
At Sage Bionetworks, our worldview celebrates multiple approaches and perspectives. We believe innovation springs from the knowledge we gain by learning from one another. By improving the way researchers collaborate and use data, we help make science more effective, enable new discoveries, and advance biomedicine.
The Informatics & Biocomputing Team
The Informatics & Biocomputing team provides technical solutions that make it easier for scientists to complete their job. We partner with scientists, product managers, and other bioinformatics and software engineers in the more extensive Data & Tooling group to tackle projects in cancer and neurodegenerative disease research, clinical informatics, and other bioinformatics and healthcare domains. We collaborate with research teams to identify use cases, implement tools and user interfaces, develop processes, and manage cloud resources while adopting and promoting standards for open science.
If you are energized to be a vital contributor to a team with a passion for mission-driven work, you could be our next Bioinformatics Engineer.
You will engineer back- and front-end components to enable team science across the lifecycle of resource development and dissemination. Interacting with multiple communities across the National Institutes of Health (NIH) and the Global Alliance for Genomics & Health (GA4GH) provide endless opportunities to learn from, contribute, and accelerate biomedical discovery.
You will design and build out components in our biomedical and open data ecosystem, think through team-science use cases, derive solution requirements, and develop implementations utilized by researchers across multiple biomedical areas: from oncology to COVID-19. You will contribute to actively develop open-source codebases (e.g., the schematic framework for data ingress and data annotation); interactive immuno-oncology results exploration (e.g., iAtlas portal); and pipelines for data validation and dissemination (e.g., powering the AACR Project GENIE).
What you’ll do:
- Bring enthusiasm for collaboration and problem solving, as well as a passion for findable, accessible, interoperable, and reusable (FAIR) data solutions in biomedical research.
- Work with scientists, software developers, and project managers to build, refine, and deliver applications and services to enable open, collaborative research.
- 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 developers.
- 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:
- Have a BS in Computer Science, Bioinformatics, Computer Engineering or related computational field and 2+ years of experience in an engineering role.
- Are enthusiastic about open science, collaboration, and reproducible research.
- Are proficient with collaborative development and version control systems (e.g. git).
- Have proficiency in R or Python.
- Enjoy supporting diverse teams — including computational biologists, research ethicists, software engineers, and data librarians — to solve complex scientific problems.
- Have demonstrated effective verbal, written, and organizational skills with demonstrated ability to communicate with a variety of technical and non-technical collaborators.
Also Preferred BUT NOT Required
- Experience developing interactive apps and visualizations in R with Shiny, htmlwidgets, D3.js, and related libraries.
- Passion and experience for user-centered design.
- Working in a cloud-based IT environment.
- Proficient in container technologies such as Docker.
- Experience working with biomedical (including genomic, imaging, or clinical) data.
This is a Professional level position on our Science Professional career ladder, with a compensation range of $73,000 to 115,000. Actual compensation is dependent upon experience.
Due to Covid-19, all interviews will be conducted remotely.
This position is eligible to be fully remote. Sage Bionetworks is actively working on policies and plans for the post-COVID distributed work environment.