Alzheimer’s Disease Translational Research Intern

Sage Bionetworks

. Work as a member of the Alzheimer’s Disease Translational Research Team on National Institutes on Aging-supported programs focused on Alzheimer’s disease and other neurodegenerative diseases .

Posted 11/5/2026full-timeRemote • Washington • United StatesEntry Level💰 $35 - $40 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in multi-omic research methodologies, including transcriptomic, proteomic, and epigenomic data analysis, while applying advanced statistical and machine learning techniques. Strong collaboration and communication skills are essential for effective teamwork and dissemination of research findings.

Highest-signal resume keywords

Multi-Omic ResearchStatistical AnalysisMachine Learning TechniquesData Extraction and CleaningEffective Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Transcriptomic AnalysisProteomic AnalysisEpigenomic AnalysisMetabolomic AnalysisDifferential Expression AnalysisData Normalization ProtocolsMeta-AnalysisResearch DesignR ProgrammingPython Programming

Soft Skills

Critical ThinkingProblem-SolvingAttention to DetailAdaptabilityTeam Collaboration

Industry Keywords

Alzheimer's DiseaseNeurodegenerative DiseasesOpen ScienceReproducible ResearchResearch Ethics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Work as a member of the Alzheimer’s Disease Translational Research Team on National Institutes on Aging-supported programs focused on Alzheimer’s disease and other neurodegenerative diseases
Conduct multi-omic research using transcriptomic, proteomic, epigenomic, and metabolomic data from the AD Knowledge Portal and other public resources
Apply pre-processing and normalization protocols for epigenetic, proteomic, and/or transcriptomic data
Run differential methylation and differential expression analyses
Perform harmonization and meta-analysis across cohorts and comparisons across brain regions
Evaluate molecular profile changes across stages of Alzheimer’s disease neuropathology
Develop innovative research initiatives using exploratory and hypothesis-driven analysis of complex, high-dimensional datasets
Use advanced statistics, machine learning methods, and study design expertise to formulate research questions and analyze and interpret data
Create and document methods, pipelines, and tools for data analysis while adhering to reproducible research standards
Communicate findings through peer-reviewed publications, detailed records, presentations to funders and collaborators, and research conferences and workshops
Potentially publish or co-author research, post processed data, summary files, and code on the AD Knowledge Portal, and present work to internal and external academic colleagues
Collaborate with computational biologists, research ethicists, software engineers, data librarians, scientists, and researchers across disciplines

Requirements

What you’ll need

Pursuing or recently received an M.S. or Ph.D. in Neuroscience, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or related discipline; or commensurate experience
1 year of research experience in a relevant field
Experience with data extraction, data cleaning, complex statistical analysis, and machine learning techniques using R or Python
Passion for open science and collaboration, complex data, and supporting scientific research
Critical thinking and thoughtful practices emphasizing inclusivity, accessibility, and relevance
100% original cover letter and CV
Strong problem-solving and analytical skills
Attention to detail and accuracy
Ability to work effectively under deadlines, adapt to changing environments and priorities, and multitask
Effective verbal and written communication skills
Ability to work well in a team and maintain professionalism
Ability to follow company policies, procedures, and relevant laws and regulations
Travel required a minimum of two times per year for on-site events in Seattle, WA

Benefits

Comp & perks

Paid Holidays
Paid Sick Time
Paid Personal Days
Access to org-wide meetings, workshops, training, etc.
Mentorship program
Transportation Benefits, if applicable
Remote/on-site/hybrid work arrangements within the United States