Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Biostatistics and Data Science department located at our Ridgefield facility. As an intern, 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 or R 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
- This position will require individuals to be fully vaccinated against COVID-19 or have an approved medical or religious accommodation. Click here for more information on the vaccine mandate and COVID-19.
Desired Skills, Experience and Abilities
* Must be a 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, R and/or Python
* Good written and oral communications skills in the English language
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.
Want to learn more? Visit boehringer-ingelheim.com and join us in our effort to make more health.
Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA Inc., Boehringer Ingelheim Animal Health Puerto Rico LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; citizenship status, marital, domestic partnership or civil union status; gender, gender identity or expression; affectional or sexual orientation; pregnancy, childbirth or related medical condition; physical or psychiatric disability; veteran or military status; domestic violence victim status; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by applicable federal, state or local law.