At Sage Bionetworks, we believe in the power of open science and interdisciplinary collaboration to create a new vision of human health. We strive for actionable biomedical insights through the responsible sharing and reuse of data, all guided by our deep scientific expertise and diligent governance controls.
We're a dynamic, adaptable team, and at Sage, we highly value individuals who can flexibly navigate various roles and functions. Diversity in experiences, backgrounds, and identities is essential for our rich culture of learning and collaboration. Our partnerships, both within Sage and with external communities, are founded on principles of trust, transparency, and a commitment to growth. Together, we are leaving a lasting imprint on the fields of science and medicine.
In this role you will be a member of the Alzheimer’s Disease Translational Research Team working on a variety of National Institutes on Aging-supported programs focused on Alzheimer’s Disease and other neurodegenerative diseases. You will apply your skill as an Alzheimer’s Disease Translational Research Intern by engaging in multi-omic research using data (transcriptomic, proteomic, epigenomic, metabolomic) from the AD Knowledge Portal and other public resources. The ideal candidate will have strong computational biology/ bioinformatics skills as applied to multi-omic data, and will have enthusiasm for engaging with scientists and researchers across many disciplines.
An example project might include applying pre-processing and normalization protocols for epigenetic, proteomic, and/or transcriptomic data, and running differential methylation/ expression analyses. Harmonization and meta-analysis across different cohorts, and comparisons across brain regions, will also be considered. These and other -omics data may also be evaluated for molecular profile changes across stages of Alzheimer's disease neuropathology (progression). This work may lead to a publication or co-authorship, posting processed data, summary files, and/or code on the AD Knowledge Portal so that interested investigators may build on the work (Sage’s motto: “Better Science Together”), and/or presenting your work to internal and external (academic) colleagues.
Does a project like this sound exciting to you? Does this sound like a good fit for your skill set and research interests? Do you want to be an integral part of a team that includes computational biologists, research ethicists, software engineers, and data librarians? If so, you could be our next Intern!
What you’ll be doing:
Scientific Research: Develop innovative research initiatives using exploratory and hypothesis-driven data analysis on complex, high-dimensional datasets.
Analysis and Modeling: Utilize advanced statistics, machine learning methods, and study design expertise to pose research questions and analyze and interpret data.
Methods Development: Create and document new methods, pipelines, and tools for data analysis, and adhere to standards of reproducible research.
Dissemination: Communicate research findings through publication of peer-reviewed research papers, maintain detailed records, present to funders and collaborators, and participate in research conferences and workshops.
When is the position available and hourly rate:
3-6 month position
Full time or part time is ok
Remote or in-person is ok
Start date can be as soon as January 2027; Summer 2027 is also acceptable
This position is an intern level position with an hourly wage of $35 - 40
We’d love to hear from you if you:
Are passionate about open science and collaboration, working with complex data, and supporting scientific research.
Are pursuing or recently received a M.S. or Ph.D in Neuroscience, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or related discipline; or commensurate experience.
Have 1 year of research experience in a relevant field.
Are experienced and well-versed in data extraction, data cleaning, complex statistical…