Challenges & Benchmarking

Research Scientist

Research Scientist

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.

Challenges and Benchmarking

We are currently recruiting Research Scientists with bioinformatic or biomedical informaticist backgrounds with strong quantitative skills and experience with biomedical research projects. Key tasks will involve supporting biomedical collaborations via analysis of multimodal and clinical datasets (e.g., Electronic Health Records, radiology, multi omics, and microbiome data) through community data Challenges, and driving the publication of the results.  This position will facilitate benchmarking efforts for biomedical method and tool assessment and will assist with the organization, analysis, and execution of DREAM Challenges.

What you’ll be doing: 

  • Perform quality assessment for biomedical datasets contributed by external collaborators
  • Design and conduct analyses and meta-analyses across multiple datasets
  • Summarize research findings in reports, manuscripts, and presentations to collaborators and funders
  • Develop new methods, pipelines, and tools for analysis of data in collaboration with external partners (federal, non-profit and industry). Generate preliminary data to support grant applications.
  • Collaborate with in-house data curation experts to select and apply data standards to datasets
  • Work with “real-world” clinical data and clinical models such as OHDSI/OMOP

We’d love to hear from you if: 

  • Have a Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Epidemiology, Genetics, Computer Science, or related discipline; or another scientific degree with commensurate experience.
  • Have experience working with high dimensional genomic data, such as whole genome sequencing data, transcriptomics, metabolomics, and/or data from other high-throughput biological technologies.
  • Are proficient in R or Python.
  • Have experience with data harmonization or meta-analysis.
  • Have experience with advanced statistical techniques or machine learning methods, such as multivariable linear and logistic regression, survival analysis, dimensionality reduction, Bayesian inference, and optimization methods.
  • Have excellent written and verbal communication skills.
  • Have strong collaboration and teamwork skills.
  • Are passionate about open science, reproducible research, and collaboration.
  • Experience with collaborative coding (e.g. github) and reproducible research practices is preferred.
  • Evidence of project leadership within large team science projects or research consortia is preferred.

Essential Job Functions

The cognitive and physical activities described here are representative of those that must 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 role has a compensation range of $84,064 – $112,437.