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 Genomics Research Center (GRC) plays an integral role towards the goal of developing world class genetics and genomics research focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC the Human Genetics (HG) team assists in the identification and characterization of underlying genetic factors associated with diseases and aims to understand the mechanism of drug response through quantitative analyses. Major focuses include new target discovery via genetic evidence from population-based studies large biobanks molecular phenotypes and deeper investigation of targets through functional genomics. This internship will focus on comparing and leveraging variant annotation tools (e.g. VEP FAVOR RegulomeDB SpliceAI AlphaGenome) and databases to annotate variants from real sequencing datasets with the goal of prioritizing those most likely to have functional impact in association studies. 

Key responsibilities include: 

• Survey and compare major variant annotation tools (e.g. VEP SnpEff ANNOVAR). 
• Compare the gene and transcript lists of humans in RefSeq and Ensembl/GENCODE. 
• Explore and integrate multi-source annotations (e.g. ClinVar HGMD splice-disrupting variants in SpliceAI functional scores in FAVOR AlphaMissense & AlphaGenome and regulatory features). 
• Annotate the variants in a WGS project using selected tools and support/conduct association analysis. 

Qualifications :

Minimum Qualifications 

• Currently enrolled in university pursuing a PhD in Genome sciences Bioinformatics Biostatistics Human genetics Computer Science or other related fields 
• Must be enrolled in university for at least one semester following the internship 
• Expected graduation date between December 2026 July 2027 
• Proficient in programming languages (R or Python) 
• Strong written and verbal communication skills 
• Self-directed and able to work with minimal supervision 

Preferred Qualifications 

• Have experience performing variant annotation and prioritizing variants based on their annotations 
• Strong quantitative and analytical skills 
• Energetic and eager to tackle new projects and generate new ideas 

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 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 
• 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 bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion 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:

No

Employment Type :

Intern

Job Tags

Summer work, Local area, Relocation package,

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