Researcher / analyst
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
- Closing date20 August 2020
Key information about the role
- LocationSt Mary's Campus(map)
- Position typeFull time, fixed term
- Salary£35,477 –£41,938plus benefits
- DepartmentSchool of Public Health
- CategoryResearcher / Non Clinical Researcher
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
- 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.
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: email@example.com.
For technical issues when applying online please email firstname.lastname@example.org.
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/
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About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. 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.
Researcher / analyst