Description
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 work with a senior-level statistician on a research project related to the pharmaceutical industry and/or clinical trials. Potential topics may include AI/Machine learning, multiplicity adjustment, survival analysis, Bayesian methods, dose-finding, data visualization, etc. with applications to oncology, immunology, cardiology, respiratory, retinal health, 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, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's 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.
Desired Skills, Experience and Abilities
-Graduate student in fields related to statistics, biostatistics, data science, computer science,
epidemiology, public health or mathematics
- Ph.D. candidate with at least 2 years of study
-Good written and oral communications skills strongly preferred
-Demonstrated proficiency conducting statistical analyses using R, Python or SAS
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
