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.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
We have exciting new opportunities available for Study Statisticians, Support Statisticians and Exploratory Statisticians at various levels.
