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Position: Intern - Statistics
Institution: Teva Pharmaceuticals
Location: United States
Duties: During the 12 week program, you will gain in-depth insight into the role of Statistics intern as part of the Global Statistics and Data Sciences department at Teva; Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects; You will also have an opportunity to learn about the development of processes and initiatives within Global Statistics and Data Sciences
Requirements: Currently enrolled in a Ph.D. program in Statistics or Biostatistics, having completed at least two full years of coursework prior to the start of the internship and continuing to be enrolled for at least one semester following the internship; In good academic standing within your program with an accumulated GPA of at least 3.0; Fundamental understanding and experience in probability, statistical inference, experimental design, clinical trials; Knowledge of at least one statistical programming language (e.g. SAS, R, Python)
   
Text: Intern - Statistics During the 12 week program, you will gain in-depth insight into the role of Statistics intern as part of the Global Statistics and Data Sciences department at Teva; Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects; You will also have an opportunity to learn about the development of processes and initiatives within Global Statistics and Data Sciences. Currently enrolled in a Ph.D. program in Statistics or Biostatistics, having completed at least two full years of coursework prior to the start of the internship and continuing to be enrolled for at least one semester following the internship; In good academic standing within your program with an accumulated GPA of at least 3.0; Fundamental understanding and experience in probability, statistical inference, experimental design, clinical trials; Knowledge of at least one statistical programming language (e.g. SAS, R, Python)
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