Clinical Data Science - Statistics Co-Op (PhD)

Description

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 Intern to join our Biostatistics and Data department located at our Ridgefield facility. As an Intern, you will will work with a senior-level statistician on a research project related to the pharmaceutical industry and/or clinical trials. Potential topics may include survival analysis, Bayesian methods, dose-finding, data visualization etc. with applications to oncology, immunology, cardiology, respiratory, central nervous system disorders, or clinical research in general.

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 Ingelheims high regard for our employees

Duties Responsibilities

• Work with a senior-level statistician on a research project related to the pharmaceutical industry and/or clinical trials  
• Present your research results at the end of the program  
• May have the opportunity to summarize your work in a peer-reviewed publication 
  
  
  

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

• Graduate student in fields related to statistics, biostatistics, data science, computer science, or mathematics
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of machine learning and deep learning methods and familiar with large language models
• Demonstrated proficiency in Python, R, and / or SAS. Experience with high-performance computing servers is also required.
• Ph.D. candidate with at least 2 years of study is preferred
• Good written and oral communications skills strongly preferred