2026 AI/ML Bioinformatics Intern (PhD)

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

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 intern will work with the Neuroscience Bioinformatics team of the Genomics Research Center (GRC) at AbbVie. The GRC is a multidisciplinary center of excellence with expertise in genomic technologies and their application, human genetics, genomic medicine, computational analysis, data integration, genome biology, and application of functional genomics.   

Key responsibilities include: 

• Curate and preprocess neuroscience-relevant perturb-seq data for LLM model training  
• Fine-tune single-cell foundation model using perturb-seq data 
• Train and validate classifier to predict gene perturbations from transcriptomic profiles 
• Simulate reversal of transcriptomic disease state based on disease-specific gene expression signatures and pathways 
• Consistent collaboration with Neuroscience colleagues to determine transcriptomic disease signatures and prioritize genes for follow-up experiments 

Minimum Qualifications  

• Currently enrolled in university, pursuing a Master’s / PhD in bioinformatics, AI/ML, computational 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 (2028 PhD) 
• Strong programming skills in Python and/or R  
• Experience in deep learning/machine learning and TensorFlow or PyTorch 
• Exposure to bioinformatics 
• Strong written, verbal and oral communication skills, good self-organization  

Preferred Qualifications 

• Exposure to RNA-seq and/or DNA-seq analysis 
• Experience with computational biology 
• Exposure to neuroscience projects 

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. ​

Benefits and Amenities  

• Competitive pay  
• Relocation support for eligible students  
• Connect with AbbVie leaders and scientists   
• Opportunity to apply cutting edge generative AI to medicine 

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 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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html