Research Associate in Genetic and Molecular Epidemiology

2 weeks ago

London, Greater London, United Kingdom Imperial College London Full time
Exciting Opportunity for a Postdoctoral Researcher

This is an exciting opportunity for an enthusiastic postdoctoral 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 methods, including Mendelian randomization and colocalization, and conventional observational approaches to understand key molecular intermediates 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, working 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, work independently and collaboratively with an international research team, and have evidence of excellent writing skills, 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 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.

Key Responsibilities
  • Take 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.
  • Present findings to colleagues internally, submit findings to conferences, and peer-reviewed journals.
  • Contribute to the supervision of postgraduate students and undergraduate research projects.
Requirements
  • Hold a PhD in Epidemiology, Data Science, Medical Statistics, or a closely related discipline.
  • Have experience of statistical analysis of big data and/or health data and a record of prior publications in peer-reviewed journals.
  • Prior experience using genetic and/or molecular epidemiological methods and strong coding skills are highly desirable.
Working Arrangements

This is a full-time and fixed-term (3 years) role based at the White City Campus. 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.

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