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2024 Computational Toxicology Intern

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21d ago

🚀 Summer Internship


⌛ Closed
Applications are closed

Summer Internship



  • 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’s Experiential Interns.
  • The Computational Toxicology group functions to develop, refine, and bring awareness to in-silico methods that may help predict and understand safety for small and large molecules. The Computational Toxicology Intern will gain exposure to a wide range of safety-related datasets ranging from biology, pharmacology, toxicology, and chemistry to help with predictive modeling, data engineering, and data visualization. Using these datasets, the team hopes to apply data science and machine-learning methodology to better visualize the data and help identify novel and mechanistic associations.


  • Minimum Qualifications:
  • Currently pursuing a Bachelor's, Master's, or PhD in a technical field.
  • Must be enrolled in university for at least one semester following the internship.
  • Must have wet lab experience.
  • Strong problem-solving skills including critical and analytical thinking.
  • Must be able to clearly communicate ideas and findings to both technical and non-technical audiences.
  • Must be familiar with biology and chemistry.
  • Preferred Qualifications:
  • Expected graduation date between December 2024 – July 2025.

Education requirements

Currently Studying

Area of Responsibilities



  • Collaborate with experts to independently curate, harmonize, and interpret internal safety findings across historical data to assist in data convergence .
  • Implement strategies to better structure and utilize safety data in a meaningful manner to address scientific inquiry of drug safety challenges.
  • Integrate state-of-the-art bioinformatics and AI/ML pipelines into current computational toxicology workflows and user-friendly interfaces.
  • Collaborate with research and bioinformatics scientists to conceive informatics analysis strategy, leveraging advanced machine learning/AI algorithms, to support discovery and pre-clinical safety studies.


Work type

Full time

Work mode





  • Competitive pay.
  • Relocation support for eligible students. 
  • Potential for publication co-authorship.
  • Opportunity to connect with AbbVie leaders and scientists.
  • Exposure to cutting edge technologies and concepts presented by AbbVie scientists.