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Statistics Intern, R&I Biometrics (Durham/Gaithersburg/Remote) 

EOE StatementWe are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
 
About the Organization AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, metabolic, respiratory, inflammation, autoimmune, oncology, infection and neuroscience diseases. AstraZeneca operates in over 100 countries and its innovative medicines are used by millions of patients worldwide. For more information please visit www.astrazeneca.com.



 
Description

Location: Durham, NC/Gaithersburg, MD/Remote

We are currently seeking candidates who are working towards obtaining a PhD (preferred) or master's degree in statistics, biostatistics, data science, or closely related field for a 10-12 week internship during the summer of 2022. 

Objectives/Goals of this Position:

Independently evaluate an open-ended question of interest, perform literature and methodology review and provide a statistical solution, report and recommendation. There are multiple available topics based on real-world issues from current clinical trials, including:

  • Subgroup discovery
  • Longitudinal analysis of biomarkers
  • Surrogate endpint validation
  • Zero inflated models
  • Intercurrent events

The project will lead to a presentation and actionable recommendations to current clinical trial teams, and possibly a peer-reviewed publication.

Primary Duties:

Explore and propose statistical methodology suitable to answer a question of interest, implement simulation and modeling analyses, report findings.

 
Position Requirements
  • PhD (preferred) or master-level student working towards a degree in statistics, biostatistics, data science, or closely related field.
  • Proficiency in SAS or R, literature review skills, independent statistical method development, knowledge of simulations. Prior knowledge of some of the aforementioned topics is a plus.
  • Minimum GPA of 3.0+
  • Legal authorization to work in the U.S.
 
Full-Time/Part-Time Seasonal  
Location Durham, NC  

This position is currently accepting applications.

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