Biostatistics Intern
Some opportunities happen only once in a lifetime – like a job where you have the chance to change lives. At Alexion, people living with rare and devastating diseases are our Guiding Star. We are driven to continuously innovate and create meaningful value in all we do to help patients and families fully live their best lives. We value the uniqueness and diversity of our employees and recognize that nurturing the diverse perspectives and strengths of our people translates into innovative breakthroughs for patients.
This is what you will do:
The intern will work collaboratively under the supervision of senior Alexion statisticians to develop an interactive tool for data borrowing using historical clinical trial data or real-world data. This will involve dynamically borrowing information from historical control, as well as borrowing information from historical treatment effects which was proposed by Matthew and Joseph (Biostatistics 20.3 (2019)). A Rshiny application will be developed for biostatisticians to elicit appropriate priors, and generate operating characteristic (OC) curves. It will focus on continuous and binary clinical outcome measures using hierarchical models. The Time to Event (TTE) endpoint may be explored if time allows.
The intern will conduct a literature review on Bayesian approaches for historical data borrowing with assistance of senior Alexion statisticians. The intern will give a presentation on the adopted methodology and a training on the Rshiny application to help Alexion biostatisticians understand and implement the method in clinical trials. A supporting guidance document for the Rshiny application will be developed.
You will be responsible for:
- Conducting a literature review on Bayesian methods for historical data borrowing in clinical trials.
- Working with the Alexion biostatisticians to develop materials such as a presentation, and a Rshiny application and associated guideline.
You will need to have:
- Currently enrolled in a Biostatistics or Statistics PhD program.
- Technical knowledge of biostatistics methods, particularly Bayesian methodology, and has extensive experience on conducting simulations.
- Proficiency in R and Rshiny.
- Excellent attention to detail and quality, and scientific rigor
- The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.
We would prefer for you to have:
- Familiar with clinical trial design and interim analyses.
- Excellent oral and written communication skills.