Alzheimer’s Disease Translational Research Intern

This is a fully remote position, open to applicants in Washington.

📋 Description

• Join the Alzheimer’s Disease Translational Research Team as a contributor to National Institutes on Aging-supported initiatives that focus on Alzheimer’s disease and other neurodegenerative disorders.

• Engage in multi-omic research by utilizing transcriptomic, proteomic, epigenomic, and metabolomic data sourced from the AD Knowledge Portal and various public databases.

• Implement pre-processing and normalization protocols for epigenetic, proteomic, and/or transcriptomic datasets.

• Execute differential methylation and differential expression analyses.

• Conduct harmonization and meta-analysis across different cohorts and brain region comparisons.

• Assess molecular profile variations throughout the stages of Alzheimer’s disease neuropathology.

• Create innovative research projects through exploratory and hypothesis-driven analyses of intricate, high-dimensional datasets.

• Utilize advanced statistical methods, machine learning techniques, and study design knowledge to formulate research inquiries and analyze data.

• Develop and document methodologies, pipelines, and tools for data analysis, ensuring adherence to reproducible research standards.

• Present findings through peer-reviewed publications, comprehensive records, presentations to funders and collaborators, and participation in research conferences and workshops.

• Potentially publish or co-author research, processed data, summary files, and code on the AD Knowledge Portal, along with presenting work to both internal and external academic peers.

• Collaborate with computational biologists, research ethicists, software engineers, data librarians, scientists, and multidisciplinary researchers.

⛳️ Requirements

• Currently pursuing or recently obtained an M.S. or Ph.D. in Neuroscience, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a related field; or equivalent experience.

• At least 1 year of research experience in a relevant domain.

• Proficiency in data extraction, data cleaning, complex statistical analysis, and machine learning techniques using R or Python.

• A strong commitment to open science and collaboration, as well as a passion for complex data and supporting scientific research.

• Critical thinking and a thoughtful approach that emphasizes inclusivity, accessibility, and relevance.

• Submission of a 100% original cover letter and CV.

• Excellent problem-solving and analytical skills.

• High attention to detail and accuracy.

• Demonstrated ability to work effectively under deadlines, adapt to changing environments and priorities, and manage multiple tasks.

• Strong verbal and written communication capabilities.

• Ability to collaborate effectively within a team while maintaining a high level of professionalism.

• Compliance with company policies, procedures, and applicable laws and regulations.

• Willingness to travel a minimum of two times per year for on-site events in Seattle, WA.

🏝️ Benefits

• Paid Holidays

• Paid Sick Time

• Paid Personal Days

• Access to organization-wide meetings, workshops, training, etc.

• Mentorship program

• Transportation Benefits, if applicable

• Flexible remote/on-site/hybrid work arrangements within the United States