[Hiring] Alzheimer’s Disease Translational Research Intern @Sage Bionetworks

Role Description

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.
• Running differential methylation/expression analyses.
• Harmonization and meta-analysis across different cohorts.
• Comparisons across brain regions.
• Evaluating 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.

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.

Qualifications

• Passionate about open science and collaboration, working with complex data, and supporting scientific research.
• Pursuing or recently received a 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.
• 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.

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.

Benefits

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