2021 Experiential Internship Computational Oncology
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. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Project involves developing a statistical framework to assign tumor cells identified from single cell RNA sequencing (scRNA-seq) to cancer subclones. The project will leverage mouse and human scRNA-seq data generated internally, and also any available public datasets for method development and testing. A strong background in statistics and method development are desired. Fluent knowledge of R or Python programming languages is required. Ideal candidate is experienced in both method development and genomic data analysis.
- Statistics background
- R/Python programming experience
- Genomics experience
- Minimum GPA = 3.0/4.0
- Returning to university for at least one semester
- Currently enrolled in university, pursuing a PhD in Bioinformatics, Computer Engineering, Computer Science, Data Analytics, Math, Statistics, or a related field
- Demonstrated leadership skills (i.e. extracurricular activities or projects)
- Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship (students on an F1 visa with CPT may be accommodated)
Significant Work Activities
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Job Level Code
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.