Biorelevant Testing and Predictive Modeling, Material and Analytical Sciences Co-Op

Boehringer Ingelheim Pharmaceuticals, Inc.; Ridgefield (CT); Sur place; USD 33 000 - 45 000; Plein temps

Résumé du poste

Boehringer Ingelheim is seeking a Spring Co-Op to join the Material and Analytical Sciences department at the Ridgefield facility. You will compare PION and t-TIM datasets and apply predictive modeling to support early biopharmaceutic decisions.

You will analyze data, perform quality checks, and present findings under scientific guidance. This role requires enrollment as an undergrad/grad student in a related engineering or pharmaceutical sciences field and a 3.0 GPA or higher.

Qualifications

• 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.
• 3.0 GPA (on a 4.0 scale) preferred.
• 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.
• Major or minor in related field of co-op.

Responsabilités

• 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.

Connaissances

Statistical analysis

Data visualization

Python

R

Data quality checks

Biopharmaceutics knowledge

Formation

Undergraduate/Graduate degree in Mechanical/Chemical/Material Engineering or pharmaceutical sciences

GPA 3.0 minimum

12 credit hours completed for undergraduate students

9 credit hours completed for graduate students

Outils

Python

R

JMP

MATLAB

Excel

Description du poste

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, 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

This position offers an hourly rate of $24 to $33 commensurate with the level of degree program in which an applicant is actively enrolled. We continuously review market data and may adjust salary ranges as needed in the future. Benefits include medical coverage, paid time off, paid holidays, disability and life insurance benefits, and other company-sponsored benefits.

JOB ID

37562

Job function

Development

Career level

Student roles & Internships

Organization

BI Pharmaceuticals, Inc.

Working time

Full-Time

Job flexibility

On-Site

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. 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