Description
Who We Are:
At Boehringer Ingelheim we create value through innovation with one clear goal: to improve the lives of patients. We develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company we focus on long term performance. We are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture. Learning and development for all employees is key because your growth is our growth.
Boehringer Ingelheim is currently seeking a talented and innovative Co-Op candidate to join our Biostatistics and Data Sciences department located at our Ridgefield facility. As a Co-Op, you will work alongside a Clinical Data Scientist on projects such as clinical trial data analysis, designing data visualization tools, and/or big data processing utilizing statistical programming languages such as SAS/R.
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, review, validate SAS programs to generate analysis datasets, tables, figures, and listings to support trial or project data analysis
- Follow Good Programming Practices with documentation when developing programs
- Understand and Follow company SOPs and How to Guides where applicable.
- Support the review of analysis dataset specifications based on Case report form, Statistical analysis plan, and display template, in accordance with industry standards (CDISC).
- Develop interactive web-based data driven applications deployed through the Rshiny.
- Present your project/assignments work at the end of the program
Requirements
- Must be an Undergraduate, Graduate, or Professional Student in good academic standing.
- Must have completed 12 credit hours within a related major and/or other related coursework.
- Overall, cumulative GPA (from last completed quarter) must be at least 3.000 (on 4.0 scale) or better (No rounding up).
- Major must be related to the field of internship.
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
Desired Skills, Experience and Abilities
- Master of Science graduate student in fields related to Bio/statistics, Computer Science (software programming language focused), Data Science, or a related degree program
- Demonstrated proficiency using SAS or R
- Good written and oral communications skills in the English language
