Research Assistant / Associate in Biostatistics
Imperial College London School of Public Health
United Kingdom

Job summary

This is an exciting opportunity for a suitably qualified applicant to join the Department of Epidemiology and Biostatistics as a Research Assistant/Associate in Biostatistics. Duties of the post will include development, implementation, evaluation, and application of statistical models in molecular epidemiology, with a particular application in cancer risk prediction. You will benefit from the strong, international collaborative working group,...

Job listing information

  • Reference MED01943
  • Date posted 21 July 2020
  • Closing date 20 August 2020

Key information about the role

  • Location St Mary's Campus (map)
  • Position type Full time, fixed term
  • Salary £35,477 – £41,938 plus benefits
  • Department School of Public Health
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

This is an exciting opportunity for a suitably qualified applicant to join the Department of Epidemiology and Biostatistics as a Research Assistant/Associate in Biostatistics.

Duties of the post will include development, implementation, evaluation, and application of statistical models in molecular epidemiology, with a particular application in cancer risk prediction. You will benefit from the strong, international collaborative working group, and access to data from large international lung cancer consortia. We are looking to appoint an individual with a background in biostatistics or epidemiological methods, with statistical, programming, and analytical skills and an interest in molecular cancer epidemiology and risk prediction. The focus will be on methods for the estimation and calibration of the absolute risk of cancer in molecular and genetic epidemiology studies.

The post offers a unique opportunity to gain in-depth experience of implementing sophisticated statistical models for cancer risk prediction, and applying these tools using data from large international lung cancer consortia. You will collaborate closely with epidemiologists, biostatisticians, and other scientists both within the department and more broadly within the lung cancer consortia. The post is ideally suited for candidates who hold an MSc, are recent PhD graduates or expect to hold a PhD in biostatistics, epidemiology, or a closely aligned quantitative field, or have equivalent professional experience.

Duties and responsibilities

You will work collaboratively as part of a multidisciplinary research team. You will also develop, implement, evaluate, and apply statistical methods applicable to risk prediction in molecular epidemiological studies, within both Bayesian and frequentist frameworks.

  • You will create user-friendly and well documented software to enable the broad use of the methods.
  • You will conduct and interpret data analysis, and prepare suitable summary outputs of the analysis while maintaining accurate and complete records of all work and findings
  • You will present findings to colleagues and at relevant workshops and conferences and write reports for submission to research sponsors
  • You will draft and submit publications of the findings to suitable refereed journals

Essential requirements

    • The ideal candidate must have an MSc or PhD degree in in Biostatistics, Epidemiology, or a closely related quantitative discipline, or equivalent professional experience and expertise.
    • Experience in handling (big) datasets from epidemiological studies, including molecular/genetic data.
    • Experience of programming in statistical packages (e.g. R)
    • Experience of building hierarchical Bayesian models (using e.g. Stan, JAGS, BUGS)
    • A thorough understanding of applied statistical methods in the context of epidemiology and observational studies.
    • Good knowledge and understanding of Bayesian hierarchical regression models, and familiarity with regularising model parameters through hierarchical prior distributions.
    • Good knowledge of epidemiological study design.

Further information

The contract is fixed term, full-time post, for 7 months (with the possibility of extension if funding is available). Candidates with an MSc (or equivalent) will be appointed as Research Assistant. Candidates with a PhD (or equivalent) will be appointed as Research Associate. Candidates who expect to receive their PhD will be appointed at the top of the Research Assistant scale until their PhD is awarded.

Should you require any further details on the role please contact Dr David Muller: david.muller@imperial.ac.uk.

For technical issues when applying online please email recruitment@imperial.ac.uk.

Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/ 


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