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Medical Statistician

Employer
Global Academy Jobs
Location
United Kingdom
Closing date
Mar 20, 2019

Job Details

Job summary

The post-holder will be part of the Biostatistics, Evidence Synthesis and Test Evaluation (BESATE) Group within the Institute of Applied Health Research (IAHR). The Test Evaluation Research Group (TERG) within BESATE is internationally renowned for its expertise in evaluating medical tests, providing statistical expertise in the design and analysis of applied health research projects and developing methodology. TERG leads the Diagnostics and Biomarkers theme within the National Institute of Health Research (NIHR) Birmingham Biomedical Research Centre (BRC) whose three key clinical areas are inflammatory arthritis, inflammatory gastroenterology and inflammatory sarcopenia. TERG works with these research themes within the BRC to develop, design and deliver portfolios of test research studies, and to advance the methodology behind early evaluative studies.

The post-holder will be part of the statistical team, supporting a selection of BRC projects (applied and methodology) and other NIHR funded studies and research projects related to diagnosis and prognosis. They will contribute to scientific peer reviewed publications, grant applications, study protocols and development of data collection forms, under the mentorship of a senior member of TERG. They will undertake appropriate statistical analysis of study data and prepare reports for independent oversight committees, and contribute to presentations and publications, under the mentorship of a senior member of TERG. Their role will include determining appropriate statistical analysis for data including writing statistical analysis plans, under the mentorship of a senior member of TERG. They will support the delivery of clinical research in accordance with Good Clinical Practice (GCP), the Declaration of Helsinki, applicable legislation (including, but not limited to, the Medicines for Human Use Clinical Trials Regulations, Data Protection Act 1998, Human Tissue Act), the Research Governance Framework for Health and Social Care, Caldicott principles, and applicable NHS Trust and University policies and procedures, (including, but not limited to the University's Data Protection Policy, Information Security Policy and Code of Practice for Research) in order to protect the research subject and the quality of each study.

The post holder will conduct statistical and methodological research on a variety of projects specialising in diagnosis and prognosis in TERG. Our group's research programme addresses a wide and interesting range of medical problems of practical relevance to patients, carers and health care providers. The post holder will work alongside a number of statisticians supporting research in TERG and the Biostatistics Team.

Statisticians are encouraged to take an interest in the medical areas, and understand the clinical issues and problems relating to the disease areas in which they work.This enables them to contribute to disease-specific research at a national and international level. In addition, the post-holder will have opportunities to contribute to the basic teaching activities of the Biostatistics Team within BESATE. The responsibilities of the post are commensurate with those expected of a Grade 7 research fellow.

Person Specification

  • Graduate in a numerate-related subject MSc or PhD in Statistics OR a relevant higher degree.
  • Demonstrable knowledge of medical statistics, clinical trials, diagnostic and test evaluation studies.
  • Proven experience of applying statistical techniques e.g. logistic and Cox regression, analysis of variance, repeated measures.
  • Demonstrable skills in statistical programming, preferably in STATA or SAS.
  • Experience of computer-based database management and data extraction/ reporting techniques.
  • Demonstrable ability to work well both on own initiative and as part of a team.
  • Demonstrable strong inter-personal, verbal and written communication skills.
  • Demonstrable meticulous attention to detail and high levels of accuracy.
  • Demonstrable problem solving skills; aptitude for analysis which is real life and problem driven.
  • Interest in the application of statistical techniques for medical problems.
  • Willingness to learn new techniques.
  • Ability to impart statistical concepts to non-statisticians, demonstrable ability to clearly communicate complex information for a range of audiences
  • A flexible attitude and an ability to organise work to meet deadlines, while handling more than one task at a time is needed.

 

Additional information

Any informal enquires to Professor Jon Deeks - J.Deeks@bham.ac.uk

Closing Date

20 Mar 2019

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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