At Sage Bionetworks, we believe that we can learn more by learning from each other. 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.
We are looking for a Research Scientist to join our Alzheimer’s disease (AD) research team. Our team develops and applies open, collaborative approaches to advance research in AD. In this role, you will contribute to computational biology research projects within several large, open science research consortia funded by the National Institute on Aging. These consortia perform research across multiple early stages within the AD drug development pipeline, including target discovery, target validation, and preclinical testing. You will oversee, plan, and perform collaborative research in support of ongoing consortia efforts as well as perform and publish independent research. Research areas may include: 1) applying novel computational and systems biology approaches to multi-omic human data, 2) developing methods to infer disease origin and progression, and 3) developing methodology to inform the prioritization of therapeutic hypotheses and identification of novel AD protein targets. Enthusiasm for the application of computational biology and technology to enable open, collaborative, and reproducible biomedical research is essential.
What you’ll be doing:
- Performing independent research from inception to publication on genetic and genomic contributions to Alzheimer’s Disease.
- Crafting and developing algorithms for interrogating and interpreting complex genomic data.
- Coordinating collaborative research across multi-investigator working groups, including overseeing data harmonization efforts.
- Working with clinicians, biologists, and other bioinformaticians in academia and industry to develop bioinformatic analyses and visualizations of genomic data for public dissemination.
- Writing technical documentation for a scientific audience, authoring scientific papers for peer reviewed journals, and presenting work at scientific conferences.
- Training and mentoring scientists and research associates.
We’d love to hear from you if you:
- Have a Ph.D. in Computational Biology, Bioinformatics, Neuroscience, Computer Science, or related discipline; or another scientific degree with commensurate experience.
- Have experience working with high dimensional genomic data, such as sequencing data, gene expression, genotype, CNV and/or data from other high-throughput biological technologies.
- Demonstrate excellence in research with evidence of advancing an area of computational biology.
- Are proficient in R or Python.
- Have experience with advanced statistical techniques or machine learning methods, such as linear mixed-effects models, 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.
- Expertise in Alzheimer’s disease, neurodegeneration, or other neuroscience research field is preferred.
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.
Sage embraces diversity, equity and inclusion. We are committed to pay parity and making our salary ranges available to all employees. We invite you to apply and we welcome a conversation. We are based in Seattle, WA, and collaborate broadly throughout the world.
In light of recent concerns of Covid-19, all interviews will be conducted remotely. Sage supports a distributed work environment, and generally provides flexibility to our team members to work on- or off-site.
This is a professional level position on our Research Professional career ladder. The professional level has a compensation range of $83,232 – $124,848. Actual compensation is dependent upon experience.
Sage provides a flexible work environment and will accommodate requests for geographically remote work with manager approval. Sage will also accommodate local employees who choose to work remotely from the Washington area with the option to come into the office on a flexible schedule.