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Title

Statistics Intern, Oncology Biometrics-Comb Dose (Waltham/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: Gaithersburg, MD/Waltham, MA/Remote

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

Objectives/Goals of this Position:

Developing the penalized D-optimality approach for combination dose finding by:

  • Creating an R shiny package utilising existing R code.
  • Evaluating different models, beyond the 4 parameter logistic model (eg. 3 and 5 parameter models) and design features.
  • Increasing efficiency of simulation code to speed up simulations.
  • Running simulations to evaluate scenarios and influence of prior.

Primary Duties:

Understanding statistical methodology, writing statistical code in R, performing statistical analyses and report writing.

 
Position Requirements
  • PhD (preferred) or master-level student working towards a degree in statistics or mathematics.
  • Knowledge of R, Bayesian statistics, foundation statistical knowledge and preferably some familiarity with the idea of simulations/experience writing simulation code.
  • Minimum GPA of 3.0+
  • Legal authorization to work in the U.S.

 

 
Full-Time/Part-Time Seasonal  
Location Waltham, MA  

This position is currently accepting applications.

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