University of Cambridge

Job Opportunities


Research Associate / Senior Research Associate, UKRI Innovation / Rutherford Fund (non-clinical) Fellowship at HDR UK in Systems Genomics

Salary: Grade 7 - £31,604 - £38,833 / Grade 9 - £39,922 - £50,618

Research Associate* / Senior Research Associate**

**NB: The status of Senior Research Associate is awarded on the basis of individual merit and may be awarded to the successful candidate if approved by the Faculty Board of the Cambridge School of Clinical Medicine

*Appointment at research associate is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be awarded appointment will initially be made at research assistant and amended to research associate when the PhD is awarded.*

Main duties and responsibilities of the job

An exciting opportunity has arisen to offer a prestigious UKRI Innovation/Rutherford (non-clinical) Fellowship in Systems Genomics. The fellow will be an ambitious and talented early to mid-career researcher who will establish and lead an interdisciplinary research programme focused on developing and applying innovative meta-dimensional analysis methods to uncover the shared aetiology of many diseases by combining genomics, proteomics and electronic health records.

The fellow will have outstanding quantitative/computing/data science skills and a demonstrated track record of both methodological research and analysing complex genomic datasets. The role will involve coordinating the development and application of quantitative methods to achieve a series of high-impact publications. In addition, it is anticipated the post holder will lead the generation of efficient and flexible software tools for wider generic use.

The post holder will be based in the Department of Public Health and Primary Care, University of Cambridge and will have access to exceptional world-leading large-scale studies including 'multi-omics' data e.g. proteomics, metabolomics and lipidomics, genotype array data in approximately 50,000 individuals within the INTERVAL study.

This post is a UKRI Innovation Fellowship (UK nationals) or a Rutherford Fund Fellowship (non-UK nationals) and will be part of a national cohort of fellows funded by the UK Government's Industrial Strategy fund.

Key Responsibilities:

  • Developing and implementing innovative meta-dimensional analysis strategies for the planned investigations.
  • Application of the developed methods to large and rich genomic datasets in order to further understanding of chronic disease aetiology.
  • Preparation of high-impact manuscripts for publication.
  • Development of statistical software for efficient and flexible applied analyses
  • Working closely with senior colleagues to help interpret findings and draft manuscripts and other reports for publication
  • Preparation of grant applications to secure further funding for relevant projects

Education/ Qualifications:

  • PhD (or equivalent) in Statistics, Computer Science, Mathematics, Statistical Genetics, Bioinformatics or other related quantitative subject.
  • At least three years of relevant post-doctoral experience.

The funds for these posts are available until 14 February 2021.

Location: Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN

Informal enquiries can be made to Angela Wood

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Closing date: 31st December 2017

Interview Date: w/c 8th January 2018

Please ensure that you upload the following in the upload section of the online application:

  • Curriculum Vitae (CV)
  • A covering letter which should outline how you match the criteria for the fellowship, why you are applying for this fellowship.
  • Outline of your proposed research programme (max 2 pages)

If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference RH14175 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online