You need wet lab experience, critical thinking skills, and a technical background in biology and chemistry for this computational toxicology internship. Be able to communicate findings clearly to various audiences.

You will collaborate on curating safety data, implementing bioinformatics/AI pipelines, and strategizing informatics analysis to support drug safety studies.

Science

United States

Chicago

Large

AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.  

Science & Healthcare

AbbVie

<ul><li>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.</li><li>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.&nbsp;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.&nbsp;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.</li></ul>

Currently Studying

Bachelors

Masters

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.

2024 Computational Toxicology Intern

Requirements

Responsibilities

AbbVie

Mission & Purpose