Summer 2026 - Computational Biology in Neurodegeneration Internship
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Role Summary
Summer 2026 - Computational Biology in Neurodegeneration Internship. This internship focuses on supporting translational neuroscience research in Alzheimer's disease. The intern will analyze RNA-seq and proteomics data from blood and cerebrospinal fluid (CSF), integrated with neuropathology and clinical data from publicly available Alzheimer's disease cohorts. Key responsibilities include identifying molecular features associated with disease staging and developing predictive models of neuropathological burden. The intern will collaborate with computational biologists to deliver analytical insights that inform patient stratification, asset differentiation, and mechanism-of-action studies in early-stage neuroscience research.
Responsibilities
- Conduct linear and nonlinear association analyses to link blood and CSF bulk RNA-seq and proteomics data with postmortem neuropathology staging.
- Use standard workflows for RNA-seq and proteomics data—including quality control, normalization, covariate adjustment, and batch correction—to identify genes, pathways, or gene networks associated with disease staging and relevant gene sets.
- Build and validate supervised models, such as logistic regression and random forest, to predict neuropathology staging using molecular data and clinical covariates.
- Develop version-controlled analysis reports using tools like Quarto or Jupyter to facilitate transparent and reproducible knowledge sharing.
Qualifications
- Graduate student with training/experience in neuroscience, computational biology, bioinformatics, or related program
- A background or current emphasis in computational biology methods, with demonstrated ability in statistical modeling and/or machine learning.
- Prior experience analyzing RNA-seq data (e.g., bulk, single-cell, or spatial).
- Proficiency in R and/or Python for data analysis and visualization.
- Experience with Git and reproducible workflows
- All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Immigration or visa sponsorship is not available for this position.
Education
- Graduate student status in a relevant field; practical experience in computational biology methods is expected.