Alzheimer’s Disease Translational Research Intern

Sage Bionetworks
Location
Remote
Job Type
Full-time
Posted
November 8, 2026
Hourly Rate
$35 - $40/hour

Job Description

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 analysis, and machine learning techniques using tools like R or Python.
  • Recognize the importance of applying critical thinking and thoughtful practices in your role, striving to ensure inclusivity, accessibility, and relevance for everyone.

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 analysis, and machine learning techniques using tools like R or Python.
  • Recognize the importance of applying critical thinking and thoughtful practices in your role, striving to ensure inclusivity, accessibility, and relevance for everyone.

Pleasesubmit a 100% original cover letter and CV. We value your authentic voice and personal writing style. This role requires critical thinking and clear communication, and your application is the first demonstration of those skills.

Job Functions and Physical Requirements

The following cognitive and physical activities outline the essential functions required for successful job performance. Reasonable accommodations may be provided to enable individuals with disabilities to fulfill these functions.

Physical Demands

Extended periods of sitting at a desk and using a computer.Repeated wrist, hand, and finger movements.Requires clear vision for tasks like data analysis, transcribing, computer use, and reading.Occasionally lifting or moving objects weighing up to 10 pounds.

Cognitive Demands

Able to work effectively under deadlines.Strong problem-solving and analytical skills.Attention to detail and accuracy.Flexibility to adapt to changing environments, priorities and multitask.

Additional Requirements

Travel is required a minimum of two times per year for on-site events in Seattle, WA.Effective verbal and written communication skills.Works well in a team and maintains professionalism.Follows company policies, procedures, and relevant laws and regulations.

Note: This list is not exhaustive and may be subject to modification as job duties evolve.

About Us

Sage Bionetworks is a nonprofit biomedical research organization that was founded in Seattle in 2009. We focus on advancing human health through open science practices and radical collaboration, with a view to breaking down existing silos in science and technology. Through our work, we guide responsible data sharing and reuse, benchmark scientific methods and results, and empower participants to be active partners in research. We are a bold team of scientists, engineers, product developers, governance specialists and business experts, working to bring data and communities together in unique ways that accelerate medical progress. As a growing organization, Sage is supported through a dynamic portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

At Sage Bionetworks, we implement equitable workplace strategies to guarantee fair compensation. Actual compensation is determined based on current market data, experience, and internal pay parity. This position is an intern level position with an hourly wage of $35 - 40.

All interns are eligible for a number of benefits, including but not limited to:

  • Paid Holidays
  • Paid Sick Time
  • Paid Personal Days
  • Access to org-wide meetings, workshops, training, etc.
  • Mentorship program
  • Transportation Benefits, if applicable

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

At Sage Bionetworks, we uphold equal employment opportunities for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, or veteran status. We strictly prohibit discrimination and harassment based on these protected categories, in compliance with federal and state equal employment opportunity laws.

If you’d like to request areasonable accommodation,please let HR know prior to your interview.

Frequently Asked Questions

Where is this internship located, and is it remote?
The position is listed as Remote. Remote or in-person work is acceptable, and Sage supports remote, on-site, and hybrid arrangements within the United States. Travel to Seattle, WA for on-site events is required at least twice per year.
What qualifications do I need for this internship?
You should be pursuing or have recently received an M.S. or Ph.D. in Neuroscience, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related discipline, or have commensurate experience. You also need 1 year of relevant research experience and experience with data extraction, data cleaning, complex statistical analysis, and machine learning using tools like R or Python.
What will I be doing in this role?
You will do multi-omic research using AD Knowledge Portal and other public data. This includes exploratory and hypothesis-driven analysis, applying statistics and machine learning, and developing documented, reproducible methods and pipelines. You will also share findings through papers, presentations, and conferences. Example tasks include data normalization, differential expression/methylation analyses, and cross-cohort meta-analysis.
What is the pay, and how long is the internship?
The hourly wage is $35–40, based on market data, experience, and internal pay parity. The position lasts 3–6 months, and either full-time or part-time is acceptable. The start date can be as early as January 2027, and Summer 2027 is also acceptable.
What benefits do interns receive?
Interns are eligible for paid holidays, paid sick time, and paid personal days. They also get access to org-wide meetings, workshops, and training, a mentorship program, and transportation benefits, if applicable.
How do I apply, and what is the interview process like?
Submit a CV and a 100% original cover letter written in your own voice. All interviews are conducted virtually unless otherwise communicated. If you need a reasonable accommodation, let HR know before your interview.
What team will I be working with?
You will join the Alzheimer’s Disease Translational Research Team, which works on National Institute on Aging-supported programs on Alzheimer’s and other neurodegenerative diseases. The team includes computational biologists, research ethicists, software engineers, and data librarians.

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Job Information

Source: manual
AI Relevance: 72/100 (Relevant)
Remote Type: remote
Skills & Tags:
sage bionetworks machine learning bioinformatics computational biology biostatistics

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