
2026 Quantitative Insights Lab Intern (PhD)
- North Chicago, IL
- Training
- Full-time
- Ingest existing internal and external compilations of perturbation data into a common knowledge graph
- Integrate with other data sources in AbbVie knowledge graphs such as genetic associations and pathways to draw connections between genes, gene perturbations, and disease mechanisms.
- Assess predictive performance of functional screens to identify outcomes of interest such as known drug mechanisms
- 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
- Proficient with statistical and programing languages (R, Python) and Linux environment
- Experience writing custom functions in R or python to statistically interrogate and visualize high dimensional biological datasets
- 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
- Expected graduation date between December 2026 – June 2027
- Experience processing and analyzing imaging data, single cell RNA-seq, CRISPR screens or other similar NGS/genomic data
- Experience with knowledge graph tools such as neo4j
- Experience with database management using SQL or other tools.
- Experience with AWS cloud computing
- 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 timeof this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, andwe may ultimately pay more or less than the posted range. This range may be modified in the future.
- Competitive pay
- Relocation support for eligible students
- Select wellness benefits and paid holiday / sick time