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AbbVie 2025 Immunology Bioinformatics Intern in Cambridge, Massachusetts

Company Description

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 Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Immunology Bioinformatics Internship Overview

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 Immunology Bioinformatics Team at Genomics Research Center is responsible for providing computational solutions and conducting computational research for immunology discovery and translational programs. We partner with discovery and clinical scientists to identify genes and pathways operant in human diseases through the interrogation of complex multi-omics data sets generated from clinical samples.

We are seeking a highly motivated intern who has a strong interest in and the essential skills for developing a computational tool for single-cell RNA sequencing. In this position, you will develop a large language model (LLM)-based tool for cell type annotation in single-cell analysis. This tool will generate cell-type annotations that are comparable to those made by human experts, as indicated in recent studies. It will utilize AbbVie's in-house LLM models and leverage previous expertise in cell-type annotation within immunology.

This internship will be based in Cambridge, MA.

Key responsibilities include:

  • Develop an internal LLM-based tool with necessary prompt engineering for cell-type annotation

  • Evaluate the performance by comparing it to traditional marker-based methods (e.g., SingleR) using public gastrointestinal single-cell RNA-seq data

Qualifications

Minimum Qualifications

  • Currently enrolled in university, pursuing a Master’s or PhD in Mathematics, Statistics, Computer Science, Bioinformatics or other related field

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

  • Required skills and knowledge include:

  • Proficiency in a programming language, e.g., R or Python

  • Experience with software development in Linux environment

  • Proven experience with single-cell RNA Seq data analysis

  • Hands-on experience of development machine learning/deep learning algorithms

  • Excellent written and verbal communication skills

  • Highly motivated and enthusiastic with the ability to work independently with minimal supervision

  • Energetic and eager to tackle new projects and generate new ideas

  • Willing to be on-site in Cambridge, MA for at least three days a week

Preferred Qualifications

  • Expected graduation date between December 2025 – July 2026

  • Strong knowledge of LLM theory and applications

Benefits and Amenities

  • Competitive pay

  • Relocation support for eligible students

  • Select wellness benefits and paid holiday / sick time

Equal Employment Opportunity

At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

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.​

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, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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

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