Spatial Transcriptomics Intern
Bioinformatics for Immunology
Confirmed live in the last 24 hours

AbbVie
No salary listed
Cambridge, MA, USA
In Person
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.
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 GitHub

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