2023 Experiential Internship - Digital Science (Illinois)
Abbvie | Portland, OR, 97201, USPosted 20 days ago
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.
DIGITAL SCIENCE 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 Digital Science Team is responsible for setting the strategies for Digital Health across the Development Organization and working across all Therapeutic Areas to bring those strategies to life for AbbVie and patients. Digital Science members identify, evaluate and operationalize digital health technologies (DHTs), including wearable devices, mobile apps, and other health information technologies, through clinical research. The team utilizes advanced analytics, including machine learning, artificial intelligence algorithms, to develop and validate novel digital endpoints.
KEY RESPONSIBILITIES INCLUDE:
Develop machine learning/deep learning algorithm(s) for novel digital endpoint, including generating validation data set in the digital science lab, data processing, designing the model architecture, hyperparameter tuning, model validation, etc.
Contribute to AbbVie’s internal digital data processing toolkit, implement the machine learning framework
MINIMUM QUALIFICATIONS
Must be enrolled in university during the internship period
Research experience in machine learning / deep learning and time series data analysis
PREFERRED QUALIFICATIONS
Experience in Python package development
Working knowledge in design pattern, AWS/Sagemaker, and Github
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 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.