Software Engineering Intern

Software Engineering Intern

Position Overview: Work on projects that make a difference! Sage Bionetworks is a leading nonprofit biomedical research organization located on the Fred Hutch campus in South Lake Union. We are dedicated to improving patient outcomes and furthering our understanding of human diseases by integrating diverse clinical, genomic, imaging, and real-time sensor data to better predict disease progression and response to interventions.

Specific Responsibilities Include

• Own a software development project adding new features to a Sage platform in areas such as cloud computing, scientific / statistical analysis, data visualization, or mobile health
• Collaborate with a senior engineer mentor in a collaborative environment including team software design and technology review meetings
• Develop experience writing code for and working on a cloud computing platform
• Learn practical professional engineering skills working on a team that utilizes agile development methods
• Work on a small team (~7 people) and gain exposure to the complete software development lifecycle; we deploy new code for our scientist users several times a month
• Write open-source code; your resume can link to your code written during your internship!

Basic Requirements

• Enrollment in an accredited degree program working towards a degree in computer science or a related discipline with at least one term to finish after the completion of the internship
• Ability to commit to a 6 month, full time position
• Experience with
– Variety of operating systems including Unix/Linux/Windows
– A variety of programming languages (Java, Python. etc.)
– Web design languages (Javascript, Html, CSS)

Additional Skills/Preferences

• Some familiarity with software development tools (Eclipse, Maven, GitHub, Docker)
• Strong verbal, written, and organizational skills
• Self-starter with the ability to multitask and drive projects to completion

Sage Bionetworks offers an hourly salary for this position, rate dependent on experience.

Apply for this position.


Current Positions

Computational Oncology

The Computational Biology group focuses on developing integrative probabilistic models for prediction of disease phenotypes and validating of hypotheses generated by novel methodologies. Currently opportunities include: positions in Oncology focused on conducting original research in analyzing large-scale high dimensional genomics data to develop predictive models of cancer phenotypes. Positions in collaboration with the recently merged Sage/DREAM effort, focused on designing and implementing crowd-sourced collaborative challenges around cancer phenotype prediction problems. Positions in stem cell bioinformatics with a focus on development of the data and analysis bioinformatics portal for the Progenitor Cell Biology Consortium, as well as research projects on modeling molecular mechanisms underlying stem cell differentiation.

Mobile Health

Sage Bionetworks’ mobile health (mHealth) program is designed to improve disease characterization through the use of sensor-based technologies and bi-directional feedback to improve health monitoring and provide quantitative metrics to assess disease impact on health and on quality of life. We maximize the insights gained from these efforts by providing them through Synapse, a collaborative compute platform. Our mHealth team includes expertise in software engineering (both iOS and Android), clinical study design and development, data governance and data analysis. We are actively involved in projects across a range of disease areas and within the Precision Medicine Initiative.

Systems Biology

The Systems Biology research group at Sage Bionetworks is working to understand the underlying mechanisms causal to common disease. We use large-scale genomic analysis to identify disease subclasses, generate diagnostic and prognostic biomarkers, and to identify pathophysiology causal to disease in collaboration with academic and industry partners. Our current portfolio is focused on neurobiology, spanning both neurodegenerative and neuropsychiatric disorders, and includes projects in other disease areas including immunology, metabolic disease and craniofacial deformation.

Technology Platforms & Services

We’re working on the tools and platforms required to gather, share and use biomedical data in novel ways. These are targeted both at the research community, as well as organizations and individuals who are involved in providing data and being involved in the research process. They range from the technology platforms Synapse and BRIDGE, through novel methods of addressing governance issues around the distribution of human data such as E-Consent, to the ability to run Challenges to solve data-driven questions through our partnership with DREAM.