Robotics Process Automation and Machine Learning

Company Name: 
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Company Name: AbbVie
Category: Software Engineering
Position Title: Robotics Process Automation and Machine Learning
Status: Undergraduate Hourly
Hours per week: 10 – 15 during academic year
35 – 40 during summer semester
Contact Email:

Who We Are:
AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases. AbbVie employs approximately 25,000 people worldwide and markets medicines in more than 170 countries.

The AbbVie Innovation Center is located in the Research Park at the University of Illinois and provides an opportunity for students and AbbVie’s Research and Development IT group to collaborate on projects to help advance our science.

Position Description:
The Part-Time Student Program at the AbbVie Innovation Center, located in the Research Park, is designed to augment AbbVie’s regular staff, and is for students who are able to work in parallel to their school schedule. Major duties include:
• Working on process automation proof of concept projects, with a specific focus on robotic process automation, machine learning, and cognitive computing
• Analyzing the business problem and determining the best machine learning algorithm/approach to use to address the problem
• Training machine learning models and verifying the accuracy of the output

• Must be registered as a full-time student
• Must be able to commute to the work location on a daily basis
• Undergraduate and Graduate students
• Cumulative minimum GPA of 3.0/4.0, or equivalent
• Must be authorized to work in the US on a permanent basis without requiring sponsorship
• 10 - 15 hours/week during the academic year
• 35 - 40 hours/week during the summer semester

Preferred Skills:
• Creative problem solver with ability to understand the larger picture but who will focus on the details leading to resolution of the problem
• Familiarity with machine learning, natural language processing, artificial intelligence, data insights, R, Python
• Foundational experience with Robotic Process Automation (RPA) tools

Note: The position will be hired through a third-party hiring agency and will begin as soon as possible over the spring semester 2018 with an option to continue through the summer and 2018-2019 academic year.

To apply: Submit your resume to Masha Trenhaile at
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