2026 High-Scale Proteomics Intern

PhD

Posted on 11/14/2025

AbbVie

AbbVie

No salary listed

Worcester, 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. 

We are seeking a highly motivated summer PhD intern with advanced training in proteomics, chemistry, or biochemistry. The intern will support research projects focused on high-scale antibody-based proteomics, biomarker discovery, translational medicine, and quantitative proteomics. The ideal candidate will have hands-on experience with protein characterization, bioanalytical tools, and data analysis using multiple bioinformatics tools. 

Key responsibilities include: 

  • Design and execute proteomics experiments, including sample preparation, Olink Q100 instrument operation, data acquisition, and database creation.  

  • Analyze and interpret proteomics data using statistical and bioinformatics software.  

  • Collaborate with multidisciplinary teams to support biomarker discovery and validation, and clinical sample analysis projects. Suggest biomarker selection based on scientific questions, support assay design, and rationale.  

  • Present findings in group meetings, interpreting, and contributing to scientific reports and publications.  

  • Maintain accurate laboratory records and ensure compliance with safety protocols.  

Qualifications

Minimum Qualifications  

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

  • Currently enrolled in university, pursuing a PhD in Chemistry, Biochemistry, Proteomics, Bioinformatics, Biostatistics or related field.

  • Strong background in ligand binding assays and antibody-based proteomics. 

  • Proficiency in data analysis and bioinformatics. 

  • Experience with protein analysis from multiple biological matrices, extraction, digestion, and quantification techniques.

  • Excellent communication and teamwork skills. 

Preferred Qualifications 

  • Expected graduation date between December 2026 – June 2027. 

  • Experience with large-scale data sets and statistical analysis. 

  • Team player, independent, creative and collaborative.  

  • Familiarity with biomarker analysis workflows. 

  • Prior internship or protein research experience in a pharmaceutical or biotechnology setting.