Research Assistant/Associate in Molecular Epidemiology
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Job Type: Full-Time.
Starting Salary: £43003 - £56345 per annum plus benefits
To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site
About the role
We are seeking a talented molecular epidemiologist who is familiar with the analysis and interpretation of genetics and other omics data to join our molecular epidemiology team.
What you would be doing
You will work on several genetic and molecular epidemiology approaches to study the excess cardiometabolic risk in South Asians for an NIH funded programme of work
What we are looking for
We are looking to appoint individuals with a
- background in epidemiology, biostatistics or other related quantitative disciplines, with analytical and interpretative skills in epidemiology and omics data
- At Research Assistant Level: a MSc or equivalent in one of the following areas: epidemiology, statistical genomics, biostatistics or related disciplines
- At Research Associate Level: a PhD or equivalent in epidemiology, statistical genomics, biostatistics or related disciplines
- Experience of analysing routine health data for research purposes
What we can offer you
- You will be part of project teams to creatively share knowledge and experience including in the areas of biostatistics, omics technologies, informatics, clinical and chemical science domains
- The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
- Grow your career: Gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
- Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Further information
The Department of Epidemiology and Biostatistics has attracted an excellent multi-disciplinary team interfacing across epidemiology, database programming, bioinformatics, geographical information systems, and statistical methodology. This environment provides strong opportunities for continuing professional development
If you require any further details on the role please contact: Professor Ioanna Tzoulaki- .
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.
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