Bioinformatic data on a large scale can be very revealing but finding the patterns can be difficult when researchers have massive amounts of data which needs to be compared and contrasted. To analyse the information produced by a large-scale study, an epidemiologist is needed.READ MORE
Epidemiology requires skilled mathematicians and scientists to use statistics to process the huge amounts of data generated by a large study, e.g. a public health study into contributory factors in heart disease in the UK. Using statistical methodology an epidemiologist looks for patterns, risk factors and other markers which may reveal more about the disease or condition. This information can then be used to further medical understanding and help identify possible drug targets.
Epidemiologist jobs include Statistician, Biostatistician and Statistical Geneticist (statistical genetics focuses on the mathematical evaluation of genomic data). For all these biostatistics roles a good working knowledge of SAS and R is advantageous, as is a degree or higher in mathematics or statistics.
Epidemiologist salaries start at £40,000 for an entry level role, and move up to £80,000 for more senior positions.