2024 GRC Computational Genomics Intern

AbbVie's mission is to discover and deliver innovative medicines and solutions 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, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

2024 GRC Computational Genomics Intern 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 Interns. 

This internship opportunity is in the Computational Genomics group of the Genomics Research Center which plays a key role in using innovative bioinformatic data analysis to generate actionable insights for AbbVie’s therapeutic areas by leveraging omics data at scale. Under the supervision of senior scientists in the group, the intern will internalize and harmonize public cell painting data with GRC-generated data to create a relational cellular phenotyping map. Cell painting is an image based morphological profiling assay that can be used to classify related cellular phenotypes to elucidate drugs’ MOA or gene targets with unknown function. Given that interpretation of cell painting data is most robust at scale, success of this effort depends on being able to leverage and interpret large cell painting data sets together. 

Key responsibilities include:

• Leading the data internalization of relevant public cell painting datasets identified from literature review.
• Functional harmonization of public and internal cell painting datasets such that data can be visualized, and future internal data can be easily integrated.
• Bioinformatic analysis of harmonized data to identify meaningful relationships across the full dataset.

Minimum Qualifications

• Currently enrolled in university, pursuing PhD in Computational Biology, Bioinformatics, Statistical Genetics or related field.
• Must be enrolled in university for at least one semester following the internship. 

Preferred Qualifications   

• Expected graduation date between December 2024 – July 2025.
• Experience processing and analyzing imaging data, single cell RNA-seq, CRISPR screens or other similar NGS/genomic data.
• Proficient with statistical and programing languages (R, Python) and Linux environment.
• Experience writing custom functions in R or python to statistically interrogate and visualize imaging or transcriptomic data.
• Demonstrated ability to execute custom computational analysis plans leveraging novel algorithms and relevant databases.
• Evidence of independent research capability including hypothesis development, experimental design and execution, data interpretation, and problem solving.
• Very good communication skills demonstrated in inter-disciplinary teams.
• A self-motivated individual with a strong work ethic.
• Experience with database management using SQL or other tools.
• Experience with AWS cloud computing.

Benefits and Amenities

• Competitive pay.
• Relocation support for eligible students.
• Opportunity to connect with AbbVie leaders and scientists.
• Exposure to Genomics Research Center and Discovery Research.

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.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because 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, status as a protected veteran, or any other legally protected group status.