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

Duties & Responsibilities

• 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.

Requirements

• 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.

Compensation Data