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Do you want a career that is exciting and varied? Do you want to make a real difference to the lives of people all over the world? How about using your mathematics or statistical knowledge to help develop and trial lifesaving medicines?

Then working as a statistician or programmer in medical research could be for you! Click on the tiles below to find out more…

Introduction to the Pharmaceutical Industry


The scope of medical research is vast and is also a successful and growing professional environment. It rises to the varying challenges of the health care industry, not just research, development and manufacturing of new treatments and devices, but also improving the effectiveness of medicines in a broader way.

Statisticians and statistical programmers work on designing, analysing and interpreting clinical trials which are conducted to progress the research, development, manufacture and marketing of products for the prevention, diagnosis and treatment of diseases.

The medical research industry is made up of a wide range of companies - large and small, local, national and international, some with manufacturing and marketing facilities, others concentrating solely on research and development - as well as Contract Research Organisations (CROs) and specialised Clinical Trials Units (CTUs).

CROs frequently provide their research and development services to pharmaceutical companies and they often work in tandem with the manufacturing companies to achieve product approval from the regulatory authorities around the world. There are strong links between CROs and pharmaceutical companies and many within the industry work on cross-functional and cross-company teams that encompass both Pharmaceutical and CRO colleagues working in partnership with one another.

CTUs are also an essential component of medical research, by designing, conducting and analysing clinical trials, in order to determine whether a particular therapy warrants further investigation. They often work in collaboration with pharmaceutical companies, academic partners and charity organisations.

To learn more about clinical trials and the basic statistical concepts involved, please visit our Schools/Education page.

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EventsFuture Events


  • Webinar: MCP-Mod – Theory, Implementation and Extensions - Dates: 08 – 08 May, 2019

    MCP-Mod (Multiple Comparisons & Modelling) is a popular statistical methodology for model-based design and analysis of dose finding studies. This webinar will describe the theory behind MCP-Mod (plus extensions), and how to implement it within available software. Pantelis Vlachos (Cytel) will provide a brief introduction to the methodology and illustrate the MCP-MoD capabilities in EAST 6.5. Saswati Saha (University of Brehem) will discuss new variations and alternatives to MCP-Mod and show how to implement them in R. Neal Thomas (Pfizer) will present further technical details of MCP-Mod by evaluating the method using results from least squares linear model theory.
  • PSI Webinar: Statistical Engagement with Commercial Activities - Dates: 12 – 12 Mar, 2019

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Principal Statistician

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