The MRC Biostatistics Unit, part of the University of Cambridge, is offering a Research Associate position focused on developing methodology for Electronic Health Record (EHR) data. The role involves applying advanced statistical methods to enhance the understanding and prediction of patient outcomes through large datasets. Ideal candidates will have a PhD in a quantitative field, strong skills in R, and a willingness to engage in collaborative research efforts within a diverse team environment.
Qualifications
PhD (or close to completion) in a strongly quantitative discipline.
Experience with high-dimensional, structured data in biostatistics is desirable.
Strong computational skills, particularly using R.
Responsibilities
Develop methodology and apply it to EHR datasets.
Refine research questions and extract relevant data.
Identify and apply analysis methods for scientific questions.
Skills
Computational skills
Bayesian statistics
Education
PhD in a quantitative discipline
Tools
R
Job description
The MRC Biostatistics Unit, part of the University of Cambridge, is offering a Research Associate position focused on developing methodology for Electronic Health Record (EHR) data. The role involves applying advanced statistical methods to enhance the understanding and prediction of patient outcomes through large datasets. Ideal candidates will have a PhD in a quantitative field, strong skills in R, and a willingness to engage in collaborative research efforts within a diverse team environment.