Description

Boehringer Ingelheim is currently seeking a talented and innovative Co-Op to join our Non-Clinical Drug Safety (NDS) AI & Digital Innovation department located at our Ridgefield, CT facility. As a Co-Op, you will have the opportunity to work closely with our experienced team of data scientists and AI experts. As a Co-Op, you'll join a dynamic team, curating extensive datasets to unlock vital Toxicology documents. This hands-on experience, testing your analytical and critical thinking skills, offers a unique insight into the pharmaceutical industry.

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 provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ 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.

Duties & Responsibilities

• Collaborate with a multidisciplinary team to develop and implement innovative solutions.

• Analyze complex datasets related to various aspects of the pharmaceutical industry, identifying patterns and trends.

• Actively participate in innovation projects, applying your analytical skills to solve real-world challenges.

• Assist in the design and development of new data-driven tools and applications.

• Present your findings and insights to team members and stakeholders, contributing to informed decision-making.

• Continuously learn about new technologies and methodologies in the field, staying at the forefront of industry developments.

• Ensure compliance with data privacy and security regulations, maintaining the highest standards of integrity.

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 or university.

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

• Onsite/Flex*: This position is site based with flexibility for remote working. Working onsite a minimum of 2-3 days per week is required. Remote working norms will be clarified during the interview process.

Desired Experience, Skills and Abilities:

• Currently enrolled in or recently graduated from a degree program in a relevant field.

• Ability to analyze complex datasets and draw meaningful insights, using strong skills in Microsoft Office, especially Excel.

• Strong problem-solving skills and the ability to think critically and proactively.

• Excellent communication skills, with the ability to present complex data in a clear and understandable manner.

• Ability to work collaboratively in a team environment, demonstrating high motivation and proactive behavior.

• Eagerness to learn and stay updated with the latest trends in the field.

• Programming experience is recommended but not required.

Compensation Data

This position offers an hourly rate of $20.00 / hr. - $33.00 / hr. USD commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards) .

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.