Automation, Material and Analytical Sciences - Co-Op

Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Material and Analytical Sciences department located at our Ridgefield, CT facility. As an Intern, you will expand your scientific skills, gain experience using state of the art equipment and insights on the drug development process.

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

• Design and conduct automated solubility experiments using robotics and high-throughput tools.
• Analyze experimental results using modeling, data analytics, machine learning, and computer vision.
• Develop a digital, automated workflow to support isolation process development.

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


• Student must be enrolled at an accredited college or university for the duration of the co-op


• 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 co-op


• 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

Desired Experience, Skills and Abilities:
• PhD candidate in chemical engineering, pharmaceutical engineering, chemistry, materials science, data science, or a related field
• Self-motivated and eager to learn, explore, and conduct independent research
• Familiarity with thermodynamic models such as NRTL, UNIFAC, and UNIQUAC
• Experience using Python or other programming tools for data analytics, machine learning, computer vision, and laboratory automation

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

This position offers an hourly rate of $24 to $33 commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com