2023 Experiential Internship - Computational Toxicology (Illinois)

Company: AbbVie
Location: Covington
Posted on: January 13, 2023

Job Description:

ABOUT ABBVIE
AbbVie's mission is to discover and deliver innovative medicines 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, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio.
For more information about AbbVie, please visit us at---www.abbvie.com.
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COMPUTATIONAL TOXICOLOGY 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'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 and data analysis. 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.
KEY RESPONSIBILITIES INCLUDE:
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

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. Specific applications may include transcriptomics, bioactivity, in vitro/vivo safety data and molecular data integration, etc.
MINIMUM QUALIFICATIONS
Currently enrolled in university, pursuing a PhD in Bioinformatics, Data Science, Pathology, Toxicology, Statistics, or other related field
Must be enrolled in university during the internship

Must have experience with data science

Proficient in a variety of coding languages, including Python and R
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 have basic familiarity with biology and/or toxicology
BENEFITS AND AMENITIES
Competitive pay

Travel, transportation and lodging 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
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.

Keywords: AbbVie, Covington , 2023 Experiential Internship - Computational Toxicology (Illinois), Other , Covington, Kentucky