Biorelevant Testing and Predictive Modeling, Material and Analytical Sciences Co-Op BI Pharmaceuticals, Inc. - 4.0 Ridgefield, CT Job Details Full-time 1 day ago Qualifications Statistics Data quality checks Report preparation Some college MATLAB Data visualization software proficiency Chemical Engineering Predictive modeling analysis R Mechanical Engineering Trend analysis Materials Engineering Organizational skills JMP Predictive analytics projects Clinical data analysis Research findings presentation Data visualization projects Python Entry level Data analysis software Full Job Description Boehringer Ingelheim is currently seeking a talented and innovative Individual to join our Material and Analytical Sciences department located at our Ridgefield facility. As a Spring Co-Op, you will be working in a dynamic, collaborative environment by comparing PION and t-TIM datasets and apply predictive modeling approaches that support early biopharmaceutic 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. Duties & Responsibilities Develop an understanding of dissolution and t-TIM data and their relevance to drug-product biopharmaceutics and early development decisions. Compile, organize, harmonize, and perform quality checks on PION, t-TIM, formulation, and available clinical data. Analyze trends and correlations across datasets to evaluate relationships among in vitro results, formulation attributes, and available clinical outcomes. Apply statistical analysis, data visualization, and predictive modeling approaches under scientific guidance. Summarize findings and present recommendations. Requirements Must be a current undergraduate, graduate or advanced degree student in good academic standing pursuing a degree in Mechanical/ Chemical / Material Engineering or pharmaceutical sciences background or a related discipline. 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:

Basic understanding of biopharmaceutics, drug dissolution, formulation development, or gastrointestinal modeling including relevant characterization techniques is preferred Experience collecting, organizing, and performing quality checks on scientific data. Familiarity with statistical analysis and visualization using tools such as Python, R, JMP, MATLAB, or Excel.

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