Boehringer Ingelheim is currently seeking a talented and innovative Co-Op candidate to join our Development Operations department located at our Fremont, California facility.
As a Co-Op, you will be under the guidance of the Director of Innovation Management & Data Science and will be actively involved in the execution of technology and data science projects by participating in project teams and various site functions.
This role provides an opportunity to work in synergy with Manufacturing, MSAT, and Development Operations (Cell Culture, Purification, Analytical Science), offering you a comprehensive understanding of the operations at our Boehringer Ingelheim US Biopharma site.
You will play an active role in identifying opportunities for process improvements and contributing to business decisions.
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.
Requirements
Must be a current undergraduate, graduate or advanced degree student in good academicstanding.
Student must be enrolled at a college or university for the duration of theinternship.
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.
Desired Experience, Skills and Abilities:
Pursuing a degree in Data Science, Computer Science, Statistics, or a related field
Experience with data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
Knowledge of machine learning algorithms and predictive modeling
Work with ambiguity and learn from implementing new solution
Passion for innovation and staying updated with the latest trends in data science/analytics
Previous experience within the biopharmaceutical industry is a plus
Duties & Responsibilities
Assist in the development and implementation of data-driven solutions to meet business needs
Collaborate with cross-functional teams to understand their data needs and deliver appropriate solutions
Conduct data analysis to identify trends, patterns, and insights within datasets
Participate in the evaluation of new data science tools and technologies
Develop predictive models and machine learning algorithms to solve complex business problems.
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
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