Spatial Transcriptomics Intern; PhD

Position: 2026 Spatial Transcriptomics Intern (PhD)
Company Description

Abb Vie'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 Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok () .

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 Abb Vie Interns.  

Bioinformatics for Immunology, Genetic and genomic sciences (BIGGS) under the umbrella of Quantitative Medicine and Genomics (QM&G) is seeking a highly talented, creative, and motivated summer intern to analyze cutting-edge spatial transcriptomics and histopathology data. The candidate will work in close collaboration with members of BIGGS and Discovery immunology and will work on advancing our capabilities in spatial data analysis and pipeline development.

Key responsibilities include:

+ Test new algorithms on spatial transcriptomics data for accuracy and efficiency.

+ Assist in the expansion and optimization of our spatial data analysis pipeline.

+ Work within an interdisciplinary team to integrate cutting-edge tools and technologies and advance the understanding of disease biology.

+ Contribute easily maintainable, robust, and flexible code for spatial analysis pipelines.  

+ Interpret and communicate results to team members and a wider audience of interdisciplinary scientists.

Qualifications

Minimum Qualifications 

+ Currently enrolled in a PhD program in Bioinformatics, Computational Biology, or related field.

+ Must be enrolled in university for at least one semester following the internship  

+ Expected graduation date between December 2026 - July 2027

+ Experience working with spatial transcriptomics required, preferably Xenium

+ Fluent in R and/or Python

+ Fluent in single-cell RNA-seq analysis

+ Excellent organizational, communication, collaboration, and interpersonal skills

Preferred Qualifications

+ Expertise in immunology is a plus

+

Experience with image analysis is a plus

+

Experience with nextflow and Git Hub

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 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.

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Abb Vie 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

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

Salary: $USD - $USD