Description

Boehringer Ingelheim is currently seeking talented and innovative co-op candidates to join our IT Ops and Labs (O&L) department, working at our Animal Health campus in Athens, GA. As a member of the IT O&L team, you will be responsible for collecting, evaluating and implementing IT- and data-centric improvement ideas. Co-Op candidates will work with a global team of colleagues to deliver innovative solutions in the areas of AI, Data Science, Software Engineering, APIs, IoT, business intelligence and/or other state-of-the-art technologies in order to support our company’s operations and decision-making processes.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence allows all employees to collaborate internationally, offering visibility and the opportunity to directly contribute to the company's success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

This role will be on-site 2-3 days per week in our Athens, GA location. Co-op role for Spring 2024

Before applying please ensure you can commit to the following:

-Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op.

-You can start on the following dates: Dates are not flexible January 6, January 21 or February 3.

-You can work full-time and for at least 4 months after the start date. You may be extended up to 6 months in total. These are Full time positions only.

Compensation Data

This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here.

Duties & Responsibilities

• Collaborate with business partners to collect ideas for application/process improvements.

• Propose IT-centered enhancements, technology use-cases, and/or solutions.

• Work with local IT team to develop a pilot project to implement an improvement project. This project will seek to utilize a state-of-the-art technology, framework, tool or technique, in a way that provides value. Technologies may include:

• AI\Machine Learning\Data Science\LLMs

• IoT

• APIs

• Database\SQL

• RPA

• Execute the pilot project using Agile methodologies and framework.

• Upon execution of the pilot project(s), document the solution design, and transfer the necessary knowledge and lessons learned to local IT team.

• Support business partners with technology-related needs.

Requirements

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.

• Student must be enrolled at a college or university for the duration of the internship.

• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale)preferred.

• Major or minor in related field of internship

• Undergraduate students must have completed at least 12 credit hours at current college oruniversity.

• Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Desired Experience, Skills and Abilities:

• Experience with Artificial Intelligence or Data Science preferred.

• Experience with cloud-based systems preferred.

• Self-driven, independent and curious with good communication skills.

• Ability to relate technology-related information to non-technical audience.

• Ability to prioritize, and work with colleagues around the world.

Eligibility Requirements

• Must be legally authorized to work in the United States without restriction.

• Must be willing to take a drug test and post-offer physical (if required).

• Must be 18 years of age or older.

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.