At Sage Bionetworks, we believe that we can learn more by engaging and collaborating with people from a diversity of experiences, backgrounds and identities. We develop and apply open practices to data-driven research for the advancement of human health. We are working to establish actionable biomedical observations through the reliable analysis and responsible sharing of representative data. By improving the way scientists collaborate and by increasing the reliability of research, we will improve human health.

In this role you will be a member of the Systems Biology team. You will apply your skill as a Biomedical Data Manager, and passion for open science in a team environment, to specialize in biomedical data, leading data sharing for large multidisciplinary research communities. You will be reporting to our VP of  Systems Biology and will contribute to the collection, harmonization, and curation of clinical, behavioral  and omics data for two international consortia studying child health.

If you are the type of person who enjoys engaging with scientists and researchers from many disciplines; and wants to be an integral part of a team that includes computational biologists, research ethicists, software engineers, and data librarians; and  managing complex scientific projects to ensure diverse teams make effective progress we would love to hear from you.

What you’ll be doing:

• Providing scientific leadership to develop standards and protocols for storing, describing, and sharing heterogeneous data (including clinical, genomic, and imaging datasets) and tools
• Working with a team of bioinformaticians, statisticians, and software developers at Sage to coordinate and manage resource and data sharing efforts for INCLUDE and other research consortia
• Facilitating data sharing across collaborating biomedical research labs by developing tools, writing documentation, curating data, and maintaining project web sites and/or data portals
• Developing use cases and requirements to inform the selection of data models and workflows for a variety of biomedical data types
• Interacting with collaborators to identify data management needs and respond to requests for data and programmatic support
• Interact with funders and collaborating research labs to identify data management needs, and respond to requests for data and programmatic support
• Provide leadership to develop data models, workflows, and protocols for storing, describing, and sharing heterogeneous biomedical data (including clinical, genomic, and imaging datasets) and tools
• Manage access to sensitive human datasets in collaboration with the Sage ethics and data governance team

We’d love to hear from you if you: 

• Are passionate about open science and collaboration

• Have a Master’s degree or PhD in Library Science, Computer Science, Bioinformatics, Statistics, Computer Engineering, or related field
• Have a minimum of 4 years working with high dimensional life science data repositories
• Have experience with clinical data models and data management tools
• Are proficient in R or Python
• Have familiarity with Linux shell scripting
• Have experience with collaborative development and version control systems (e.g. git)
• Have experience mentoring and teaching data skills to others
• Have project leadership experience

Essential Job Functions

The cognitive and physical activities described here are representative of those that may be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

• Sedentary work, prolonged periods sitting at a desk and working on a computer.
• Repetitive motion, substantial movements (motions) of the wrists, hands, and/or fingers.
• Close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
• May require travel dependent on company needs.
• Can work under deadlines.

About Sage Bionetworks 

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

At Sage, we have a distributed workforce and support remote and/or on-site hybrid work arrangements within the United States. All interviews will be conducted virtually unless otherwise communicated.

Sage Bionetworks is pleased to offer a comprehensive benefit package, competitive to both commercial and not-for-profit life science organizations. The plan includes: health, dental, vision, life, Accidental Death and Dismemberment and Long Term Disability benefits; paid time off; a retirement plan; flexible spending accounts; a shared incentives plan, voluntary Long Term Care insurance, and other voluntary products. Additional information can found here: Benefits – Sage Bionetworks

At Sage, we engage equitable workplace strategies to ensure fair compensation. Actual compensation is dependent upon current market data, experience, and pay parity within our organization. This position is a Professional or Career level position, with a compensation range of $90,632 to $129,302.