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Research Fellow- 13409-1

Brunel University London - College of Health, Medicine & Life Sciences

Location: Uxbridge
Salary: £35,963 to £42,488 per annum (Incl. of London Allowance) (Grade R1)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 16th September 2020
Closes: 30th September 2020
Job Ref: 2011

Now is an exciting time to study genetic factors involved in cardiovascular diseases and cancers. At the Department of Life Sciences, we have a Postdoctoral Research Fellowship in Data Science and (Genetic) Epidemiology to offer to a researcher who holds a PhD degree, is focussed and hard-working. If that describes you, we would love to hear from you.

You will be working at Dr Pazoki’s group in an ambitious environment with high impact (genetic) epidemiological research agenda. In our group, we apply advanced methods such as genome wide association analysis, polygenic models, and mendelian randomisation analysis to understand genetic and lifestyle causes of complex diseases. This fellowship is funded by the MRC Rutherford fund and we are in active collaboration with University of Cambridge and Imperial College London. You will work closely with other collaborating researchers at national and international level and have a great opportunity to build a research career in epidemiological research.

This postdoctoral fellowship is focused on understanding of the genetic and lifestyle contribution to complex diseases using data from 500,000 participants of the UK Biobank. Data are available from a wide range of phenotypes and on common genetic variants.

You should have a PhD and a track record in Genetic Epidemiology/ Statistical Genetics. Excellent data analytical skills are essential.  You will program appropriate statistical analyses to assess the impact of genetic and lifestyle factors (e.g. alcohol consumption) on complex diseases including cardiovascular diseases and cancers. You are expected to have experience of leading and publishing original research in peer reviewed journals. You are also expected to support junior researchers within the group.

Applicants who hold a PhD degree in (Genetic) Epidemiology, Statistical Genetics, Data Science, or related disciplines are encouraged to apply.

Essential Skills:

  • PhD in Data Science / (Genetic) Epidemiology/ Statistical Genetics
  • Ability to work collaboratively 
  • Effective communication skills within the team and with collaborators 
  • Efficient time management skills
  • Solid knowledge in genetic epidemiology
  • Excellent data analytical skills 
  • Ability to work with statistical methods, such as regression models and Cox proportional hazard model
  • Skills in working with statistical software such as R, SAS, STATA
  • Experience of statistical analysis of large-scale health and epidemiological data
  • Ability to work in Linux environment using High-Performance Computing (HPC) platforms
  • Experience of leading research and preparing manuscripts for publication
  • Advanced risk prediction methods using machine learning techniques
  • Experience with analysis of metabolomics

Desirable (Bonus) Skills:

  • Advanced risk prediction methods using machine learning techniques
  • Experience with analysis of metabolomics

We work hard to provide a supportive and positive working environment. The Department of Life Sciences proudly holds an Athena SWAN Bronze Award. We are also a Disability Confident employer. The diversity of our staff adds greatly to this inclusive ethos, and we particularly welcome applications from women and under-represented groups.

For further information, please contact Dr Raha Pazoki (

Closing date for applications: Wednesday 30th September 2020

Interview will be held in the week commencing 5th October 2020.

For further details and to apply please visit


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