Applications will be accepted until February 28, 2021.
At Sage Bionetworks, we believe that modern science is a team sport. Harnessing the power of open science, we help research communities develop reliable outcomes to advance our understanding of human health.
Our Sage Internship program aims to train and grow the community of early career scientists and engineers who believe in making scientific research responsible, reproducible, and open. Sage interns will embark on a 6-month paid internship starting in summer 2021 under the mentorship of scientists and bioinformatics engineers.
What you’ll be doing:
- Perform applied computational research or application development in well-scoped projects that support scientific research. Projects are chosen from the following tracks:
- Research in domains of cancer and neurodegeneration
- Large-scale data curation
- Application or platform development
- Present an article in a Sage journal club (Methodology Journal Club, Neurodegenerative disease Journal Club).
- Participate in collaborative code review.
- Present project findings at the completion of the internship to colleagues and mentors.
- Document your findings for future follow-up or publication.
- Develop open access interactive visualizations for scientific communication with the greater research community (if applicable).
We’d love to hear from you if you have one or more of the following:
- Have experience in R or Python.
- Are currently enrolled in one of the following:
- an Undergraduate program in computational biology, computer science, life sciences, physical sciences, mathematical sciences, neuroscience
- Masters program in computational biology, computer science, life sciences, physical sciences, mathematical sciences, neuroscience
- PhD program in computational biology, computer science, life sciences, physical sciences, mathematical sciences, neuroscience, or
- Data science/coding bootcamp
- Can commit to a 6-month, full-time position.
- Are familiar with Git, Github, AWS, or High Performance Computing (HPC)
- Have experience with genomic variant data, workflow processing of variant data, transcriptomics, background in cancer research (preferred, but not required).
- Have a background in biological sciences (preferred, but not required).
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.