Research Associate in Genetic and Molecular Epidemiology

Faculty / Department
Faculty of Medicine

Salary
£48,056 – £56,345 per annum

Location / Campus
White City Campus – Hybrid

Contract Type / Work Pattern
Full time – Fixed term

Closing date
04-Nov-2024
Job summary
This is an exciting opportunity for an enthusiastic post-doctoral researcher with experience in genetic and/or molecular epidemiology to work on a Cancer Research UK-funded 3-year project to identify molecular mechanisms linking adiposity to pancreatic cancer risk.

You will apply genetic epidemiological (e.g. Mendelian randomization, colocalization) and conventional observational approaches to understand key molecular intermediates (e.g. circulating proteins, single-cell gene expression, tumour molecular characteristics) linking excess adiposity to pancreatic cancer risk across diverse cohort studies.

You will be based at the School of Public Health at Imperial College London but will also work with a broader team of researchers based at the Universities of Bristol and Oxford and the International Agency for Research on Cancer (IARC). This post also provides the opportunity to conduct a research visit at IARC in Lyon, France. You will be expected to manage research projects and to work both independently and collaboratively with an international research team. You are also expected to have evidence of excellent writing skills and including authorship of peer-reviewed journals. While we expect your work to be primarily focused on this project, we will support you to develop your own research ideas and will aim to support your progression as an independent researcher.

If desired and with suitable arrangements in place, it is possible to fulfil part of the role remotely.

Duties and responsibilities
You will responsible for taking the initiative in planning and conducting all analyses for this project under the supervision of your line manager and with regular contact with other collaborators on this project.
You will be expected to present findings to colleagues internally, along with submitting findings to conferences and to peer-reviewed journals.
You will also have the opportunity to contribute to the supervision of postgraduate students and undergraduate research projects
Essential requirements
Hold a PhD in Epidemiology, Data Science, Medical Statistics or a closely related discipline.
You will also be expected to have experience of statistical analysis of big data and/or health data and to have a record of prior publications in peer-reviewed journals.
Though not expected, it is highly desirable that the candidate has prior experience using genetic and/or molecular epidemiological methods and strong coding skills
Further information
This is a full time and fixed term (3 years) role based at the White City Campus.

Informal enquiries regarding the post can be sent to Dr James Yarmolinsky ([email protected]).

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £41,694 – £44,888 per annum.
Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.

More information is available on the following web page: Work Location Framework | Administration and support services | Imperial College London

Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
Download: Research Associate In Genetic And Molecular Epidiomology Job Description.Pdf
 

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don’t hesitate to email us at [email protected]. We’re here to help.

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