Cellular Morphology Profiling Intern
Cellular Phenotyping
Updated on 9/19/2025

AbbVie
No salary listed
Waukegan, IL, USA
In Person
Job Description
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.
The Cellular Phenotyping team is developing predictive models that utilize various morphological profiling techniques, including Cell Painting and DeepCell, to predict a wide range of phenotypes. These models have potential applications across several fields, such as optimizing antibody production in manufacturing, predicting clinical outcomes to identify responders and non-responders, and enhancing discovery methods through the comparison of different cell models. The summer intern will focus on generating morphological data using DeepCell and Cell Painting. The goal is to validate prediction models and assess their robustness by comparing models that incorporate a single data source (either Cell Painting or DeepCell) to those that integrate both data sources.
Key responsibilities include:
- Data Generation: Use DeepCell and Cell Painting to produce morphological data.
- Model Testing: Participate in testing and validating predictive models to ensure accuracy and reliability.
- Documentation and presentations: Record experimental procedures and share results with cross-functional teams
Qualifications
Minimum Qualifications
- Currently enrolled in university, pursuing a PhD in Biology, Cellular Biology or other related field
- Must be enrolled in university for at least one semester following the internship
- Expected graduation date between December 2026 – July 2027
- Immunofluorescence and imaging experience required
- Cell culture experience required
- Self-motivated, team-player and adaptable
- Excellent communication skills
Preferred Qualifications
- Exposure to morphology profiling approaches (i.e. Cell Painting)
- Proficiency in handling, analyzing, and interpreting high-dimensional datasets is a plus
- Experience with image analysis software such as Cell Profiler or ImageJ

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