2026 Quantitative Insights Lab Intern (PhD)

This internship opportunity is in the Quantitative Insights Lab of the QM&G organization which plays a key role in using innovative bioinformatic data analysis to generate actionable insights for AbbVies therapeutic areas by leveraging genetics and omics data at scale. Under the supervision of senior scientists the intern will compile results from large internal and external databases of functional genomic perturbation data including CRISPR screens and Perturb-seq datasets to connect genes to molecular functions associated with diseases across Therapeutic Areas (TAs). The intern will have the opportunity to participate in cross-functional team efforts to develop a knowledge graph framework that can be used to extract meaningful insights.  

Importance: The intern will play a vital role in the creation and optimization of resources to advance the understanding of disease mechanisms through innovative data integration and representation techniques. 

Key Responsibilities: 

• 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 

Qualifications :

Minimum Requirements 

• 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 

Preferred Qualifications 

• 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  

Additional Information :

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 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.

Benefits and Amenities:

• Competitive pay
• Relocation support for eligible students
• Select wellness benefits and paid holiday / sick time 

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 bonuscommission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolutediscretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more visit  & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:

Work :

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