2023 Experiential Internship - Machine Learning/Quantum Chemistry (Illinois)

Company: AbbVie
Location: Norman
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.
Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.
MACHINE LEARNING/QUANTUM CHEMISTRY 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 Discovery Platform Technologies group has an exciting opportunity for a motivated intern to join the Advanced Chemistry Technologies (ACT) team at AbbVie. The intern will work at an intersection of machine learning and quantum chemistry to develop machine learning models for predicting quantum chemical descriptors for drug-like small molecules. Since quantum chemical calculations can be slow and expensive, using a predictive model instead has the potential to accelerate several drug discovery workflows across the company.
KEY RESPONSIBILITIES INCLUDE:
Understand and adopt existing codebases

Train machine learning models on external and internal datasets and benchmark the results

Demonstrate a high degree of responsibility in maintaining scientific standards and adhering to best practices in machine learning research
Maintain thorough experimental records, preferably using a git-based workflow
Summarize and present project updates regularly at team-level and department-level meetings
Lead preparation of scientific manuscript for publication of project findings in a peer-reviewed journal
MINIMUM QUALIFICATIONS
Currently enrolled in a university, pursuing a Bachelor's, Master's, Pharm D or PhD in Computer Science, Computational Chemistry, Chemical Engineering, Cheminformatics, Materials Science, or other scientific area with a computational emphasis
Must be enrolled in university during the internship period

Completed at least two years of undergraduate study prior to the start of the internship

Experience in one or more higher level programming languages such as Python, R, etc.
Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
Strong technical writing skills
PREFERRED QUALIFICATIONS
Track record of applying machine learning algorithms to solve chemistry questions

Demonstrated scientific initiative and creativity in research or development activities

Demonstrated ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise
BENEFITS AND AMENITIES
Competitive pay

Travel, transportation, and lodging support for eligible students

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 based on 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, Norman , 2023 Experiential Internship - Machine Learning/Quantum Chemistry (Illinois), Other , Norman, Oklahoma