2023 Experiential Internship- Computational Biology, Machine Learning(Massachusetts)
Abbvie | Milwaukee (or Remote), WI, 53201, USPosted a month ago
Description
ABOUT ABBVIE
AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio.
For more information about AbbVie, please visit us at www.abbvie.com.
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COMPUTATIONAL BIOLOGY/MACHINE LEARNING INTERNSHIP OVERVIEW
Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie’s Experiential Interns.
The Computational Biology/Machine Learning Intern will work with the Immunology and Neuroscience Discovery CompBio teams of the Genomics Research Center (GRC) at AbbVie. The GRC is a multidisciplinary center of excellence with expertise in genomic technologies and their application, human genetics, genomic medicine, computational analysis, data integration, genome biology, and application of functional genomics.
In collaboration with two scientific mentors, the Computational Biology/Machine Learning intern will work to identify causal molecular determinants of Alzheimer's disease (AD). Human snRNA-seq data often has the limitation that while providing associative insights it does not improve the understanding of causal effects, as no large-scale time-series or treatment effect data is available from human cohorts. Integrating multi-omics single cell and AD GWAS data from human tissues can help resolve this limitation and provide causal associations. The project focuses on identification of cell type specific risk genes causally associated with AD but is expandable to other diseases. At the end of this project the intern will have gained knowledge in how to integrate genomics and multi-omics single cell data for target identification purposes.
KEY RESPONSIBILITIES INCLUDE:
Download and analyze published multi-omics single cell data from human AD brain
Implement RefMap model in R/Python and modify for application in single cell data; share code via AbbVie Github
MINIMUM QUALIFICATIONS
Strong written, verbal and oral communication skills
Strong self-organization skills
PREFERRED QUALIFICATIONS
Experience in analyzing scATAC-seq data
Experience with GWAS/eQTL data analysis
BENEFITS AND AMENITIES
Competitive pay
Travel, transportation and lodging support for eligible students
EQUAL EMPLOYMENT OPPORTUNITY
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
